Technology

<p><span data-contrast="none">You’d be hard-pressed to find a cybersecurity professional who doesn’t recognize the benefits of AI, or who isn’t using AI. Still, likewise, nearly all companies are moving forward with trepidation, expressing concern about AI Agents’ potential to negatively impact cybersecurity, new research from Darktrace shows.</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Almost all (96%) of the 1,500 cybersecurity professionals surveyed for Darktrace’s annual </span><a href="https://www.darktrace.com/resource/the-state-of-ai-cybersecurity-2026" target="_blank" rel="noopener"><b><i><span data-contrast="none">2026 State of AI Cybersecurity Report</span></i></b></a><span data-contrast="none"> understand that AI amps up the speed and efficiency of their work. And 77% have taken the next step, embedding generative AI into their security stacks.</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">More than three-quarters (77%) of security professionals reported that generative AI is now embedded in their security stack. And nearly all (92%) say that AI-powered threats are compelling them to make significant upgrades to their defenses, potentially quelling the concerns of more than half of respondents who say they aren’t prepared to defend against those threats. A whopping 87% had acknowledged that AI has improved outcomes for malware.</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">“Across every industry, from criminal gangs to nation-state actors, attackers are utilizing AI to accelerate their pace and frequency of attacks, increasingly causing defenders to be outmatched like never before,” says Dave Gerry, CEO at Bugcrowd.  </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">That’s crucial as <a href="https://securityboulevard.com/2025/04/this-caller-does-not-exist-using-ai-to-conduct-vishing-attacks-2/" target="_blank" rel="noopener">attackers use AI to automate attack</a>s, because “they move faster in gaining access and spreading inside the network; defenses built for human response times fail silently,” says Ram Varadarajan, CEO at Acalvo. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">“CISOs investing in AI-native security aren’t chasing efficiency,” says Ram Varadarajan, CEO at Acalvo. “They’re closing a fundamental speed gap between attack and defense.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">AI can help by improving vulnerability reporting. “Artificial Intelligence (AI) improves the quality and clarity of vulnerability reporting by the hacking community,” says Kamal Shah, CEO at Prophet Security. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">“Researchers are using AI to draft clear guidance based on their findings, while documenting impact for multiple audiences within an organization,” Shah says, with some hackers building “AI agents to capture and annotate screenshots and network requests automatically, providing the necessary evidence that enterprises need to validate their findings.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">The result? Organizations receive “standardized, professional reports that are easier to reproduce and fix, effectively reducing the expensive back-and-forth typical of manual triage,” he says.</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Mirroring the current sentiment among cyber defenders across industries, cyber professionals surveyed by Darktrace are really worried about AI Agents, which are particularly daunting since they’re proliferating nearly unchecked. Most (92%) are concerned that the agents will have a negative impact on cybersecurity. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">“Security teams are no longer just defending human users; they’re supervising autonomous systems that generate their own integrations. The challenge isn’t only technical, it’s also organizational and cultural,” says Randolph Barr, CISO at Cequence Security. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Instead, they now have to manage “shadow AI” and “shadow APIs,” which, Barr says, introduces “risks far beyond traditional DevOps oversight.” </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Noting that “we are approaching a future where the use of AI agents will outpace the readiness of security measures,” Barr says, “we have seen several advisories over the past year which help highlight the gaps and hopefully drive the industry toward more secure, transparent designs before these tools become deeply embedded in enterprise ecosystems.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Governance and visibility have become the new frontline, he says, explaining that “without unified oversight, a single misconfigured API or orphaned key can compromise entire AI pipelines.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">The way security works is changing. “AI is already reshaping cyber work, and the next 12 months will fast-track that shift. AI agents are reducing demand for some entry-level roles, such as basic alert triage, log review, and first-pass investigations,” says Diana Kelley, CISO at Noma Security. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Because “AI is increasing demand for higher-context roles involving agentic system design, advanced prompt engineering, context-based threat modeling, and human-in-the-loop oversight of agentic systems,” says Kelley, “CISOs see AI changing the mix of skills and roles on their teams, not eliminating security organizations wholesale.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">That doesn’t mean a growing workforce. “Rather than expanding teams, CISOs are looking to AI to multiply their existing workforce’s effectiveness—still, leaders remain cautious, continuing to evaluate how AI adoption will ultimately affect team dynamics and resource needs,” says Robb Reck, chief information, trust and security officer at Pax8. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">But he was quick to point out that “AI isn’t replacing cybersecurity professionals in 2026—it’s augmenting them</span><b><span data-contrast="none">.”</span></b><span data-contrast="none"> Still, CISOs might be hesitant to hire. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">“Many companies are slowing hiring while they wait to see how AI agents will actually perform. The candidates who are getting hired? Those who lead with an AI-first mindset and can articulate how they’ll drive transformation, not just use the tools,” says Reck, those who “treat AI as something that will amplify their work rather than threaten it are the ones landing roles.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">The next two years will tell the tale. “Cybersecurity will no longer be a people-scaling problem. It will become an intelligence-scaling issue. AI-driven attacks force AI-driven defense,” says Varadarajan. “Teams stay lean, budgets get smarter, and machines take on the work humans were never meant to do at machine speed. By the end of the year, AI will handle a significant percentage of detection, investigation, and initial response, while humans focus on strategy, oversight, and high-risk decisions.”</span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">Regardless, though “whether through internal security teams or outsourcing part of their security operations to managed services firms, security teams must rapidly ramp up their usage of AI in response to the increased threat environment,” says Gerry. </span><span data-ccp-props='{"201341983":0,"335557856":16777215,"335559739":0,"335559740":240}'> </span></p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/navigating-the-ai-revolution-in-cybersecurity-risks-rewards-and-evolving-roles/" data-a2a-title="Navigating the AI Revolution in Cybersecurity: Risks, Rewards, and Evolving Roles"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fnavigating-the-ai-revolution-in-cybersecurity-risks-rewards-and-evolving-roles%2F&amp;linkname=Navigating%20the%20AI%20Revolution%20in%20Cybersecurity%3A%20Risks%2C%20Rewards%2C%20and%20Evolving%20Roles" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fnavigating-the-ai-revolution-in-cybersecurity-risks-rewards-and-evolving-roles%2F&amp;linkname=Navigating%20the%20AI%20Revolution%20in%20Cybersecurity%3A%20Risks%2C%20Rewards%2C%20and%20Evolving%20Roles" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fnavigating-the-ai-revolution-in-cybersecurity-risks-rewards-and-evolving-roles%2F&amp;linkname=Navigating%20the%20AI%20Revolution%20in%20Cybersecurity%3A%20Risks%2C%20Rewards%2C%20and%20Evolving%20Roles" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fnavigating-the-ai-revolution-in-cybersecurity-risks-rewards-and-evolving-roles%2F&amp;linkname=Navigating%20the%20AI%20Revolution%20in%20Cybersecurity%3A%20Risks%2C%20Rewards%2C%20and%20Evolving%20Roles" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fnavigating-the-ai-revolution-in-cybersecurity-risks-rewards-and-evolving-roles%2F&amp;linkname=Navigating%20the%20AI%20Revolution%20in%20Cybersecurity%3A%20Risks%2C%20Rewards%2C%20and%20Evolving%20Roles" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<p><img decoding="async" src="https://www.aryaka.com/wp-content/uploads/2026/02/Moltbook-and-AISecure-Blog-Banner.jpg" alt="Why Moltbook Changes the Enterprise Security Conversation"></p><p>For several years, enterprise security teams have concentrated on a well-established range of risks, including users clicking potentially harmful links, employees uploading data to SaaS applications, developers inadvertently disclosing credentials on platforms like GitHub, and chatbots revealing sensitive information.</p><p>However, a notable shift is emerging—one that operates independently of user actions. Artificial intelligence agents are now engaging in direct communication with one another. Platforms such as Moltbook facilitate these interactions in a manner that is social, ongoing, and autonomous.</p><p>This development is not speculative; it is currently in operation.</p><h2 class="f-size mt-4">What Is Moltbook—And Why Should Enterprises Care?</h2><p>Moltbook is a social platform built specifically for AI agents, even though those agents are ultimately created to serve humans.</p><p>In practice, a human user typically provides an initial prompt, goal, or instruction through an agent’s interface (chat UI, API, CLI, etc.). From that point on, the agent operates autonomously. Instead of humans signing up and posting directly, agents themselves:</p><ul> <li>Register on the platform</li> <li>Read posts and comments created by other agents</li> <li>Use that content as external context or signals</li> <li>Share their own observations, insights, links, or code snippets</li> <li>Participate in ongoing discussions without continuous human review</li> </ul><p>Humans can observe this activity through a browser, but they do not participate in the conversations taking place between agents.</p><p>For enterprises, this represents a fundamental shift. Employees can quickly deploy agents—on laptops, virtual machines, or Kubernetes clusters—that, once triggered, continuously interact with external agent communities like Moltbook. These interactions can happen long after the original human prompt, without per-action approval or visibility.</p><p>There is no traditional browser session, no SaaS admin console, and no clear, centralized audit trail. From an enterprise perspective, this activity appears simply as software communicating with other software over HTTPS, making Moltbook a new and largely invisible surface for data exposure, influence, and risk.</p><h2 class="f-size mt-4">Why This Breaks Traditional Security Assumptions</h2><p>Most enterprise security controls operate under one of two primary assumptions:</p><ul> <li>A human user is interacting with an application, or</li> <li>A known application is accessing a recognized API via a managed identity.</li> </ul><p>Moltbook does not conform neatly to either category.</p><p>Currently, there is no centralized enterprise dashboard available to monitor:</p><ul> <li>Agent registration status</li> <li>Content posted by agents</li> <li>Content consumption patterns</li> <li>Potential exfiltration of sensitive data</li> </ul><p>This scenario encapsulates the concept of shadow agents—entities that are powerful, autonomous, and effectively invisible to conventional security controls.</p><h3>The Two-Sided Risk: Outbound and Inbound</h3><p>The risk Moltbook introduces is not theoretical, and it’s not one-directional.</p><p><strong>Outbound Risk: Silent Data Leakage</strong></p><p>Agents don’t “feel” risk the way humans do. They post what their logic determines is relevant.</p><p>That can include:</p><ul> <li>Source code snippets</li> <li>Identity or token examples</li> <li>Internal project names</li> <li>Customer data</li> <li>Internal reasoning traces</li> </ul><p>A single post or comment can unintentionally leak intellectual property or regulated data—without anyone ever opening a browser.</p><p><strong>Inbound Risk: Social Prompt Injection</strong></p><p>Moltbook is also a consumption channel.</p><p>Agents read what other agents post. And those posts may include:</p><ul> <li>Instruction-like language</li> <li>Tool-use coercion (“run this”, “fetch that”, “ignore your policy”)</li> <li>Unsafe or malicious URLs</li> <li>Code fragments designed to be copied or executed</li> <li>Coordinated narratives that influence behavior</li> </ul><p>This is prompt injection, but at a social scale—what we can call social prompt injection. Traditional GenAI controls rarely account for this.</p><h2 class="f-size mt-4">Why Blocking Moltbook Isn’t Enough (But Is a Good Start)</h2><p>For many enterprises, the first instinct is correct:</p><p>“We should block this entirely.”</p><p>And they should.</p><p>Moltbook is not a required business platform today. Blocking access by default immediately stops:</p><ul> <li>Unapproved agent registrations</li> <li>Posting and commenting</li> <li>Reading untrusted agent content</li> </ul><p>But reality is more nuanced.</p><p>Some teams may want:</p><ul> <li>Research agents observing agent ecosystems</li> <li>Innovation teams experimenting in sandboxes</li> <li>Security teams studying emergent behavior</li> </ul><p>That’s where governance—not just blocking—becomes essential.</p><h2 class="f-size mt-4">Enter AI&gt;Secure: Governing Agent Social Traffic</h2><p>This is where AI&gt;Secure fits naturally.</p><p>AI&gt;Secure operates at the network layer, inline with traffic, and does not depend on:</p><ul> <li>SDKs</li> <li>Agent frameworks</li> <li>Endpoint controls</li> <li>Platform cooperation</li> </ul><p><strong>Step 1: Default-Deny, With Precision Exceptions</strong></p><p>AI&gt;Secure allows enterprises to:</p><ul> <li>Block access to Moltbook entirely by default</li> <li>Create narrow, auditable exceptions for:</li> <ul> <li>Specific users</li> <li>Approved agents</li> <li>Approved actions (e.g., read-only)</li> </ul> </ul><p>This alone closes the biggest visibility gap.</p><p><strong>Step 2: Understanding Moltbook at the API Level</strong></p><p>Where access is allowed, AI&gt;Secure doesn’t just see packets—it understands what the agent is doing.</p><p>Moltbook interactions are structured JSON APIs. AI&gt;Secure can interpret actions such as:</p><ul> <li>Agent registration</li> <li>Topic (submolt) creation</li> <li>Subscriptions</li> <li>Posting conversations</li> <li>Reading posts</li> <li>Posting comments and replies</li> <li>Reading comment threads</li> </ul><p>This is critical. Without API awareness, all agent activity looks the same. With it, policies become meaningful.</p><p><strong>Step 3: Extracting the Actual Text That Matters</strong></p><p>The real risk isn’t the API call—it’s the text inside it.</p><p>AI&gt;Secure extracts:</p><ul> <li>Post titles and bodies</li> <li>Comment and reply content</li> <li>Embedded URLs</li> <li>Inline code blocks</li> <li>Configuration fragments</li> </ul><p>Both outbound (what your agents post) and inbound (what your agents read).</p><p><strong>Step 4: Semantic Inspection, in Real Time</strong></p><p>Once extracted, AI&gt;Secure applies layered semantic inspection:</p><ul> <li>Content categorization and filtering</li> <li>Content safety and tone analysis</li> <li>PII / PHI detection</li> <li>Enterprise-specific sensitive data detection</li> <li>Code and secret detection</li> <li>URL reputation and category checks</li> <li>Instruction and prompt-injection detection</li> </ul><p>And critically: enforcement happens before data leaves the enterprise or before risky content reaches internal agents.</p><p>Not logs.<br> Not alerts after damage is done.<br> Actual prevention.</p><p><strong>The Hidden Enabler: The AI&gt;Secure Rule-Based Parser</strong></p><p>Here’s what makes this approach scalable.</p><p>AI ecosystems evolve fast. Moltbook won’t be the last agent social platform.</p><p>AI&gt;Secure uses a rule-based parser that understands structured JSON APIs. Instead of shipping new software for every new platform:</p><ul> <li>Parsing rules define which endpoints matter</li> <li>Rules define which JSON fields contain human-readable content</li> <li>Extracted content feeds the same validation pipeline</li> </ul><p>The result:</p><ul> <li>New platforms can be governed quickly</li> <li>Policies stay consistent</li> <li>Enforcement points don’t change</li> </ul><p>This is how enterprises keep up without chasing every new agent ecosystem.</p><p><strong>The Bigger Picture: From Shadow IT to Shadow Agents</strong></p><p>We’ve seen this pattern before:</p><p>Shadow IT<br> Shadow SaaS<br> Shadow AI</p><p>Moltbook signals the next phase: shadow agents.</p><p>Autonomous systems, acting socially, exchanging ideas, code, and instructions—outside traditional enterprise visibility.</p><p>Ignoring this trend won’t make it go away.</p><p><strong>Final Thought</strong></p><p>Moltbook is not “just another website.”<br> It’s an early glimpse into how agents will collaborate in the open, and how enterprise risk models must evolve as a result.</p><p>The question for enterprises is not if employees will bring agents into these ecosystems—but whether the enterprise can see, control, and secure that interaction.</p><p>That’s the gap AI&gt;Secure is built to close.</p><p>The post <a rel="nofollow" href="https://www.aryaka.com/blog/moltbook-shadow-agents-social-prompt-injection-ai-secure/">Why Moltbook Changes the Enterprise Security Conversation</a> appeared first on <a rel="nofollow" href="https://www.aryaka.com/">Aryaka</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/why-moltbook-changes-the-enterprise-security-conversation/" data-a2a-title="Why Moltbook Changes the Enterprise Security Conversation"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhy-moltbook-changes-the-enterprise-security-conversation%2F&amp;linkname=Why%20Moltbook%20Changes%20the%20Enterprise%20Security%20Conversation" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhy-moltbook-changes-the-enterprise-security-conversation%2F&amp;linkname=Why%20Moltbook%20Changes%20the%20Enterprise%20Security%20Conversation" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhy-moltbook-changes-the-enterprise-security-conversation%2F&amp;linkname=Why%20Moltbook%20Changes%20the%20Enterprise%20Security%20Conversation" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhy-moltbook-changes-the-enterprise-security-conversation%2F&amp;linkname=Why%20Moltbook%20Changes%20the%20Enterprise%20Security%20Conversation" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhy-moltbook-changes-the-enterprise-security-conversation%2F&amp;linkname=Why%20Moltbook%20Changes%20the%20Enterprise%20Security%20Conversation" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://www.aryaka.com">Aryaka</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Srini Addepalli">Srini Addepalli</a>. Read the original post at: <a href="https://www.aryaka.com/blog/moltbook-shadow-agents-social-prompt-injection-ai-secure/">https://www.aryaka.com/blog/moltbook-shadow-agents-social-prompt-injection-ai-secure/</a> </p>

<p>As financial institutions accelerate their cloud transformations, one truth has become clear: the traditional perimeter-based security can no longer defend against the distributed nature of modern financial ecosystems. In a world of open APIs, multi-cloud ecosystems, and AI-driven customer channels, the strongest defense isn’t a higher wall – it’s a smarter, continuously validated network of trust.</p><p>Across the industry, banks are realizing that the fortress mentality of the past century – where everything inside the data center was “safe”—collides with the agility demanded by the next one. Customers expect instant payments, regulators expect traceability, and threat actors never sleep. <a href="https://securityboulevard.com/2026/01/all-aboard-the-zero-trust-train/" target="_blank" rel="noopener">Cloud-based infrastructure promises innovation at speed, but only if it’s paired with a modern security paradigm: Zero-trust.</a></p><h3><strong>The End of the Fortress Mindset</strong></h3><p>For decades, banking security followed a simple rule: If you’re inside, you’re trusted. That assumption doesn’t survive in a digital landscape where every system, vendor, and endpoint is both a gateway and a potential target.</p><p>Modern attackers don’t storm the gates – they blend in. They exploit lateral movement, identity gaps, and weak segmentation instead of attacking the perimeter directly. A single misconfigured API or compromised service account can open the same door once guarded by walls of hardware firewalls. This shift makes perimeter-based defenses obsolete and turns every interaction into a verification point.</p><p>Zero-trust architecture, now endorsed by regulators and leading financial bodies, starts from the opposite assumption: every identity and system must continuously earn trust based on context, behavior, and risk. Every user, device, and service must continuously prove its legitimacy, regardless of location or prior access.</p><h3><strong>Balancing Speed and Compliance</strong></h3><p>Banks face a unique dual mandate. They must innovate faster – adopting real-time payments, embedded finance, and open banking ecosystems – while simultaneously meeting strict requirements from standards such as PCI DSS, regulations such as DORA, GDPR, NIS2 and EBA guidelines.</p><h3><strong>Zero-Trust in Practice</strong></h3><p>Zero-trust isn’t a product; it’s a mindset embedded across architecture, operations, and culture.<br>Our approach integrates identity, data, and infrastructure trust into one continuous control loop:</p><ul><li><strong>Identity-first security:</strong> Each access request is evaluated in real time based on context, device posture, and behavioral analytics.</li><li><strong>Micro-segmentation:</strong> Network zones and workloads are isolated to contain potential breaches and enforce least-privilege access.</li><li><strong>Continuous verification:</strong> Real-time telemetry from SOC and DevOps pipelines feeds risk-adaptive machine-learning models that assess trust dynamically.</li><li><strong>Multi-cloud resilience:</strong> By aligning zero-trust policies across Azure, AWS, and on-prem environments, we eliminate “blind spots” between platforms.</li></ul><h3><strong>AI: The Double-Edged Sword of Banking Security</strong></h3><p>Artificial intelligence is now both a defender and a disruptor in financial cybersecurity. Banks increasingly rely on AI-driven analytics to identify anomalies, detect fraud in milliseconds, and orchestrate automated responses before threats escalate.</p><p>Yet the same technology empowers attackers to evolve faster. Generative AI tools already produce more convincing phishing campaigns, synthetic IDs, and polymorphic malware that adapt to defenses in real time.</p><p>The answer isn’t to restrict AI, but to embed it responsibly – pairing algorithmic speed with human judgment and strict governance.</p><h3><strong>Secure Cloud Migration in Practice</strong></h3><p>When one European retail bank began its cloud transformation, scalability and compliance were its two biggest challenges. Our  team designed a hybrid infrastructure using IaC, Terraform, and CI/CD automation, integrating DevSecOps practices directly into deployment workflows.</p><p>Our zero-trust blueprint ensured encryption, access management, and monitoring were active from the first commit.</p><p>The project achieved<strong>:</strong></p><ul><li>Seamless integration between on-prem and Azure infrastructure</li><li>Round-the-clock SRE monitoring and incident management</li><li>Zero SLA breaches across four consecutive years</li><li>Cost optimization through automated environment scaling</li></ul><p>Beyond infrastructure, this transformation redefined how leadership viewed security: not as a compliance checkbox, but as a foundation for growth and customer trust.</p><h3>Practical Lessons from the Field</h3><p>No two digital transformations are identical, but most follow a familiar pattern – ambition first, governance second. The banks that thrive flip that order.</p><p>In one European institution, the rush to migrate hundreds of workloads to a new cloud environment led to fragmented policies, duplicated credentials, and inconsistent access logs. Within months, compliance teams were spending more time auditing than innovating. The turning point came when security was rebuilt around policy-as-code, automated enforcement and continuous verification – principles central to zero-trust.</p><p>By contrast, another bank began its modernization with governance-as-code. Every environment carried the same baseline: encryption, access control, and audit readiness embedded in the CI/CD pipeline. New products could launch in weeks instead of months because compliance was designed in, not bolted on later.</p><h3><strong>From Defense to Design</strong></h3><p>Zero-trust shifts security from a defensive posture to an architectural strategy. It enables banks to move faster, scale globally, and integrate AI-driven analytics without compromising governance.<br>Crucially, it changes the conversation between CIOs, CISOs, and regulators – from “Are we protected?” to “Can we continuously prove we are secure, compliant, and resilient in real time?”</p><p>That mindset defines our partnerships with financial institutions across Europe and North America. By embedding zero-trust controls within managed service delivery, we’ve shown that efficiency and compliance are not opposites – they’re outcomes of intelligent design.</p><h3><strong>Actionable Insights for Leaders</strong></h3><p>As 2026 approaches, financial technology leaders face a pivotal choice: build faster or build safer. The most successful institutions will do both – by embedding security and compliance directly into their design frameworks rather than layering them afterward.</p><p>We’ve seen that real transformation happens when CIOs and CISOs adopt three principles:</p><ol><li><strong>Embed compliance early.</strong> Treat regulatory requirements as a blueprint for engineering excellence, not a burden. When compliance is automated, innovation accelerates.</li><li><strong>Prioritize identity and access management.</strong> A strong identity layer – spanning workforce, partners, and APIs – remains the cornerstone of zero-trust architecture.</li><li><strong>Build resilience through continuous monitoring.</strong> Visibility is a protection. Unified dashboards that track performance and risk together enable confident, real-time decision-making.</li></ol><p>Together, these principles create a security posture that evolves as fast as the threats around it –  and turns governance into a catalyst for growth.</p><h3><strong>A Future of Transparent Security</strong></h3><p>As digital ecosystems continue to expand, the most trusted banks will be those that treat transparency as part of their brand. In zero-trust environments, customers can verify how their data is protected, auditors can trace every transaction, and executives can see security posture evolve in real time.</p><hr><p>This article was co-authored by <a href="https://securityboulevard.com/author/ivana-petrovska/" target="_blank" rel="noopener">Ivana Petrovska</a>, Head of Service Offering, Delivery Managed Services, Avenga.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/building-a-zero-trust-framework-for-cloud-banking/" data-a2a-title="Building a Zero-Trust Framework for Cloud Banking"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbuilding-a-zero-trust-framework-for-cloud-banking%2F&amp;linkname=Building%20a%20Zero-Trust%20Framework%20for%20Cloud%20Banking" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbuilding-a-zero-trust-framework-for-cloud-banking%2F&amp;linkname=Building%20a%20Zero-Trust%20Framework%20for%20Cloud%20Banking" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbuilding-a-zero-trust-framework-for-cloud-banking%2F&amp;linkname=Building%20a%20Zero-Trust%20Framework%20for%20Cloud%20Banking" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbuilding-a-zero-trust-framework-for-cloud-banking%2F&amp;linkname=Building%20a%20Zero-Trust%20Framework%20for%20Cloud%20Banking" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbuilding-a-zero-trust-framework-for-cloud-banking%2F&amp;linkname=Building%20a%20Zero-Trust%20Framework%20for%20Cloud%20Banking" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<p class="sc-iYsSXP hbVeNb"><span><strong>Washington, DC, February 4th, 2026, CyberNewsWire</strong></span></p><p></p><p><a target="_blank" rel="nofollow noopener" href="http://www.momentproof.com/">MomentProof, Inc.,</a> a provider of AI-resilient digital asset certification and verification technology, today announced the successful deployment of MomentProof Enterprise for AXA, enabling cryptographically authentic, tamper-proof digital assets for insurance claims processing.</p><p>MomentProof’s patented technology certifies images, video, voice recordings, and associated metadata at the moment of capture, ensuring claims evidence is protected against AI-based manipulation, deepfakes, and other malicious digital alterations.</p><blockquote><p>“We are pleased to ensure the authenticity of images and recordings essential for the insurance industry with patented MomentProof technology,” said Ahmet Soylemezoglu, President and the Co-Founder of MomentProof, Inc. “Delivering MomentProof Enterprise for AXA demonstrates our commitment to guaranteeing that insurance claims are backed by authentic digital assets resilient to AI-based and other forms of manipulation.”</p></blockquote><p>By integrating MomentProof-certified digital assets into its claims workflow, AXA eliminated probabilistic post-processing steps traditionally used to assess authenticity, while significantly reducing fraud risk and claims processing time.</p><blockquote><p>“MomentProof-certified images now provide AXA with verified authenticity for all captured claim data, including precise location, timestamp, device information, and confirmation of the authorized individual. This robust verification process has led to a substantial reduction in fraud risk and has accelerated the claims processing timeline,” stated Levent Serinol, Senior Director at AXA. “With MomentProof joining AXA’s industry-leading anti-fraud technology framework, AXA continues to strengthen its position at the forefront of claims security and efficiency,” added Director Serinol.</p></blockquote><p>MomentProof operates in two patented phases: Certification, which cryptographically seals digital assets in real time and issues a certificate of authenticity; and Verification, which validates certified assets with 100% cryptographic certainty, delivering deterministic pass/fail results. Applications of MomentProof extends to Journalism, Law, Chain of Custody, Digital Forensics.</p><p>MomentProof Enterprise is available as a GDPR- and SOC 2-compliant cloud service or as an on-premises deployment, with Mobile, Enterprise, and Messaging APIs for seamless integration.</p><p>Founded in 2022 in Europe, MomentProof, Inc. has offices in Washington, DC and delivers tamper-proof, AI-resilient digital asset protection for insurance and digital authenticity proof applications. The company is actively seeking qualified distributors to expand in U.S. markets.</p><p>Website: <a target="_blank" rel="nofollow noopener" href="https://www.momentproof.com/">www.MomentProof.com</a></p><p><strong>About MomentProof, Inc.</strong></p><p><a target="_blank" rel="nofollow noopener" href="https://www.momentproof.com/">MomentProof, Inc.</a> provides patented technology for certifying and verifying the authenticity of digital assets at the moment of capture. Its AI-resilient solutions enable organizations to protect images, videos, audio, and metadata from manipulation, supporting applications in insurance, journalism, legal processes, and digital forensics. Founded in 2022 and wıth offices in USA, Europe, and Asia MomentProof offers both cloud-based and on-premises deployments to meet varying compliance requirements, including GDPR and SOC 2.</p><h5>Contact</h5><p><span><strong>Laura Smith</strong><br></span><span><strong>MomentProof Technologies</strong><br></span><span><strong><a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="513d30242330113c3e3c343f2521233e3e377f323e3c">[email protected]</a></strong><br></span></p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/momentproof-deploys-patented-digital-asset-protection/" data-a2a-title="MomentProof Deploys Patented Digital Asset Protection"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fmomentproof-deploys-patented-digital-asset-protection%2F&amp;linkname=MomentProof%20Deploys%20Patented%20Digital%20Asset%20Protection" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fmomentproof-deploys-patented-digital-asset-protection%2F&amp;linkname=MomentProof%20Deploys%20Patented%20Digital%20Asset%20Protection" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fmomentproof-deploys-patented-digital-asset-protection%2F&amp;linkname=MomentProof%20Deploys%20Patented%20Digital%20Asset%20Protection" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fmomentproof-deploys-patented-digital-asset-protection%2F&amp;linkname=MomentProof%20Deploys%20Patented%20Digital%20Asset%20Protection" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fmomentproof-deploys-patented-digital-asset-protection%2F&amp;linkname=MomentProof%20Deploys%20Patented%20Digital%20Asset%20Protection" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<p>The chatbot era has ended. For two years, we’ve interacted with digital assistants that summarize emails and suggest recipes, but the National Institute of Standards and Technology (NIST) now draws a definitive line between machines that talk and machines that act. Their newly released <a href="https://share.google/nuta850cIoBnZSBF2">Request for Information</a> (RFI) signals a fundamental paradigm shift in how we must approach AI risk.</p><h3>From Conversational Interfaces to Autonomous Execution</h3><p>NIST’s Center for AI Standards and Innovation (CAISI) specifically targets what it calls “AI Agent Systems”—a category that excludes standard Retrieval-Augmented Generation (RAG) tools and customer service bots. Instead, the RFI focuses on systems that pair generative models with “scaffolding software,” the digital connective tissue that equips models with tools to take discretionary, autonomous actions in the real world. The government isn’t soliciting feedback on software bugs; they’re sounding the alarm on agent hijacking and a future where AI executes consequential tasks with minimal human oversight.</p><p>The defining characteristic of an AI agent lies in its ability to affect “external state”— creating persistent, often irreversible changes outside its own code. When an agent books flights, moves money, or adjusts industrial controls, the risk profile shifts from “bad text output” to “unintended physical or digital destruction.”</p><p>NIST calls out a dangerous reality: organizations increasingly deploy these systems with minimal human intervention, and when a model possesses the agency to plan and execute action sequences, the buffer between a machine’s “thought” and real-world consequence evaporates. We’ve moved from AI that gives advice to AI that exercises labor, which means the risk no longer centers on misinformation but on unauthorized execution.</p><h3>The New Threat Topology: Hijacking, Poisoning and Misalignment</h3><p>Traditional cybersecurity protocols prove insufficient for the agentic era, and NIST makes this limitation explicit. The RFI outlines a trifecta of machine-learning-specific threats that demand novel defensive strategies:</p><ul><li><strong>Indirect Prompt Injection</strong> allows adversaries to trick agents into following malicious instructions hidden within third-party data sources. Unlike direct attacks, these exploits weaponize the very information streams that agents must consume to function effectively.</li><li><strong>Data Poisoning and Backdoors</strong> compromise the model’s foundational training, ensuring it fails or betrays users under specific conditions. The attacker doesn’t need to breach the deployment environment; they corrupt the model’s “brain” before it ever reaches production.</li><li><strong>Specification Gaming</strong> represents perhaps the most philosophically troubling risk—the “uncompromised” model that pursues a misaligned objective with perfect logic but catastrophic results. The agent games its instructions to achieve goals in ways designers never intended, demonstrating that perfect obedience to flawed specifications creates failure modes indistinguishable from attacks.</li></ul><p>The stakes of agent hijacking scale exponentially beyond traditional security breaches. A hijacked agent doesn’t merely leak data; it leverages the tools and authorizations already granted to execute actions on an attacker’s behalf. CAISI researchers have already published technical evaluations proving the viability of these attacks, and as orchestration software enables multi-agent collaboration, we face increasingly complex webs of autonomous decision-making that resist easy auditing or oversight.</p><h3>National Security Implications: From IT Concern to Existential Threat</h3><p>The federal government worries less about agents making typos and more about weapons of mass destruction. The RFI explicitly links AI agent security to “critical infrastructure” and “catastrophic harms to public safety,” highlighting CBRNE threats—chemical, biological, radiological, nuclear, and explosive weapons development. The logic follows a simple but terrifying arc: an autonomous agent with access to laboratory tools or supply chain databases could facilitate the creation of high-consequence weapons with unprecedented ease.</p><p>When a government agency discusses AI agents in the same breath as nuclear threats, the “move fast and break things” philosophy officially expires. AI security has graduated from an IT concern to a pillar of national security and public safety, demanding governance frameworks commensurate with the risks these systems pose.</p><h3>Zero-Trust Architecture Meets Non-Human Cognition</h3><p>To mitigate these threats, NIST is exploring adapting zero-trust architecture to AI systems. This approach includes implementing the principle of least privilege—granting agents the absolute minimum set of tools and permissions their tasks require—and establishing instruction hierarchies that ensure models recognize which commands (from owners) override others (from third-party sources).</p><p>However, strategists must recognize a fundamental friction: we are attempting to apply human security protocols to non-human cognition. NIST is investigating rollbacks and negations to undo unwanted actions, but in generative environments, this proves significantly more complex than standard database transactions. Because AI agents interact with live, messy external states, unwinding sequences of probabilistic actions represents a massive technical hurdle that remains largely unsolved. The tension between making agents useful and treating them as inherently untrustworthy creates a paradox at the heart of agentic AI deployment.</p><h3>Economic Competitiveness Demands Security Standards</h3><p>This RFI transcends data gathering; it represents a strategic effort to ensure U.S. economic competitiveness. NIST recognizes that the absence of security standards will inevitably curb adoption of AI innovations, and if businesses don’t trust agents, they won’t deploy them. The resulting hesitation could cost the United States its lead in the agentic AI race.</p><p>The agency calls on developers, deployers, and researchers to move beyond chatbot-era safety frameworks and collaborate on standards addressing the unique lifecycle of agents—from training and scaffolding to orchestrating multi-agent environments. The stakes involve nothing less than establishing the foundational protocols that will govern how autonomous systems integrate into critical infrastructure.</p><h3>Confronting the Autonomy Trade-Off</h3><p>The NIST RFI marks the inflection point where we stop treating AI as a conversational novelty and start treating it as autonomous labor. We stand at a crossroads where the massive economic potential of agentic AI meets a security vacuum that traditional protocols cannot fill. As these agents migrate from our screens into our physical and financial infrastructure, we must confront a strategic question that will define the next decade: Are we prepared to trade total human control for the unprecedented efficiency of autonomous labor?</p><p>The rules governing this new paradigm take shape today through responses to NIST’s call. How the technical community answers will determine the safety—and viability—of our digital and physical infrastructure for decades to come.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/beyond-the-chatbot-why-nist-is-re-writing-the-rules-for-autonomous-ai/" data-a2a-title="Beyond the Chatbot: Why NIST is Rewriting the Rules for Autonomous AI"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbeyond-the-chatbot-why-nist-is-re-writing-the-rules-for-autonomous-ai%2F&amp;linkname=Beyond%20the%20Chatbot%3A%20Why%20NIST%20is%20Rewriting%20the%20Rules%20for%20Autonomous%20AI" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbeyond-the-chatbot-why-nist-is-re-writing-the-rules-for-autonomous-ai%2F&amp;linkname=Beyond%20the%20Chatbot%3A%20Why%20NIST%20is%20Rewriting%20the%20Rules%20for%20Autonomous%20AI" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbeyond-the-chatbot-why-nist-is-re-writing-the-rules-for-autonomous-ai%2F&amp;linkname=Beyond%20the%20Chatbot%3A%20Why%20NIST%20is%20Rewriting%20the%20Rules%20for%20Autonomous%20AI" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbeyond-the-chatbot-why-nist-is-re-writing-the-rules-for-autonomous-ai%2F&amp;linkname=Beyond%20the%20Chatbot%3A%20Why%20NIST%20is%20Rewriting%20the%20Rules%20for%20Autonomous%20AI" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fbeyond-the-chatbot-why-nist-is-re-writing-the-rules-for-autonomous-ai%2F&amp;linkname=Beyond%20the%20Chatbot%3A%20Why%20NIST%20is%20Rewriting%20the%20Rules%20for%20Autonomous%20AI" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

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<p>Artificial intelligence is no longer a “nice to have” in cybersecurity – it’s embedded everywhere. From detecting suspicious activity to responding to incidents in real time, AI now sits at the heart of modern security operations.</p><p>But as organizations hand over more responsibility to intelligent systems, a tough question emerges: <strong>who’s really in control?</strong></p><p>This is where AI governance comes in. Not as a compliance checkbox, but as a practical necessity. Without clear governance, AI can quietly introduce blind spots, amplify risk, and erode trust – even while appearing to make security stronger.</p><p>In this blog, we’ll break down why AI governance matters in cybersecurity, the risks of getting it wrong, and how organizations can build AI systems that are not just powerful, but trustworthy.</p><h2 class="wp-block-heading"><strong>The Current State of AI in Cybersecurity</strong></h2><p>Artificial intelligence has permeated nearly every aspect of modern cybersecurity operations. From endpoint detection and response (EDR) to security information and event management (SIEM) platforms, AI algorithms analyze network traffic, detect anomalies, classify threats, and even orchestrate automated responses. The statistics are compelling: organizations using AI-powered security tools report up to 95% reduction in false positives and can detect breaches 60% faster than traditional methods.</p><p>However, this rapid adoption has outpaced the development of governance frameworks. Many organizations deploy AI security tools without fully understanding their decision-making processes, training data biases, or failure modes. This creates a dangerous paradox: the more we rely on AI for security, the more vulnerable we become to AI-specific attacks and failures.</p><h2 class="wp-block-heading"><strong>Why AI Governance Is No Longer Optional</strong></h2><p>When AI systems influence <strong>security decisions</strong>, the risks go far beyond technical issues. Without proper <strong>AI governance</strong>, models can develop <strong>blind spots or bias</strong>, lose accuracy over time due to <strong>model drift</strong>, or be targeted through <strong>adversarial attacks</strong>. A lack of <strong>explainability</strong> makes it harder for security teams to trust and validate automated actions, while growing <strong>regulatory requirements</strong> demand transparency, data protection, and <strong>human oversight</strong>. When governance fails, organizations face <strong>missed threats, compliance risk, reputational damage, and loss of trust</strong>.</p><h2 class="wp-block-heading"><strong>Core Pillars of AI Governance</strong></h2><p>Effective AI governance in cybersecurity is built on six foundational pillars that ensure AI systems remain trustworthy, effective, and aligned with organizational values.</p><h3 class="wp-block-heading"><strong>1. Transparency and Explainability</strong></h3><p>Security teams must understand how AI decisions are made, especially for high-impact actions. Explainable AI techniques and clear documentation help teams validate alerts, assess confidence, and trust system outputs.</p><h3 class="wp-block-heading"><strong>2. Accountability and Ownership</strong></h3><p>Every AI system should have defined ownership across its lifecycle. Clear accountability ensures faster issue resolution and reinforces responsibility for both internal models and third-party tools.</p><h3 class="wp-block-heading"><strong>3. Risk Management and Assessment</strong></h3><p>Regular risk assessments help identify model weaknesses, adversarial exposure, and operational impact. Governance frameworks should include mitigation and fallback plans for critical AI failures.</p><h3 class="wp-block-heading"><strong>4. Data Quality and Privacy</strong></h3><p>High-quality, representative data is essential for effective AI. Strong data governance and privacy controls reduce bias, protect sensitive information, and ensure regulatory compliance.</p><h3 class="wp-block-heading"><strong>5. Continuous Validation and Monitoring</strong></h3><p>AI performance must be monitored continuously to detect drift or degradation. Ongoing testing against evolving threats ensures models remain accurate and resilient over time.</p><h3 class="wp-block-heading"><strong>6. Human Oversight and Control</strong></h3><p>Human judgment remains essential in AI-driven security. Critical decisions should allow human approval and override, balancing automation with accountability and ethical responsibility.</p><figure class="wp-block-image size-full"><img fetchpriority="high" decoding="async" width="799" height="824" src="https://seceon.com/wp-content/uploads/2026/02/image.png" alt="" class="wp-image-30389" srcset="https://seceon.com/wp-content/uploads/2026/02/image.png 799w, https://seceon.com/wp-content/uploads/2026/02/image-291x300.png 291w, https://seceon.com/wp-content/uploads/2026/02/image-768x792.png 768w, https://seceon.com/wp-content/uploads/2026/02/image-530x547.png 530w" sizes="(max-width: 799px) 100vw, 799px"></figure><h2 class="wp-block-heading"><strong>Turning Governance into Practice</strong></h2><p>Making governance real requires structure, not just principles.</p><p>Organizations that do this well typically:</p><ul class="wp-block-list"> <li>Create cross-functional AI governance groups</li> <li>Maintain an inventory of all AI systems in security operations</li> <li>Document model behavior, limitations, and decision thresholds</li> <li>Test AI systems against adversarial and edge-case scenarios</li> <li>Define clear response plans for AI failures</li> </ul><p>The goal isn’t perfection – it’s <strong>predictability and control</strong>.</p><h2 class="wp-block-heading"><strong>Regulatory Landscape and Compliance</strong></h2><p>The regulatory landscape for AI is evolving quickly, adding new layers of complexity for organizations using AI in cybersecurity. Existing data protection laws now intersect with AI-specific regulations such as the EU AI Act, which follows a risk-based approach and often classifies cybersecurity AI as high risk. In the U.S., executive directives and sector-specific rules place similar expectations on transparency, testing, and oversight, particularly in regulated industries like finance, healthcare, and critical infrastructure.</p><p>Strong AI governance makes compliance far more manageable. Organizations with clear ownership, documented controls, ongoing testing, and human oversight are better positioned to demonstrate responsible AI use. When regulators ask how AI systems are monitored, validated, or kept fair, governance artifacts such as performance reports, audit logs, and validation records become proof – not paperwork.</p><h2 class="wp-block-heading"><strong>The Seceon Approach to AI Governance</strong></h2><p>At Seceon, AI governance isn’t just about meeting compliance requirements – it’s about building security systems teams can truly trust. Our platform is designed with governance built in, giving organizations visibility and control over AI-driven decisions without sacrificing speed or scale.</p><p>Here’s how we do it:</p><ul class="wp-block-list"> <li><strong>Full auditability and traceability</strong><strong><br></strong>Every AI-driven decision is logged end to end, allowing security teams to trace threat detections, automated actions, and outcomes with complete accountability.</li> <li><strong>Explainable AI by design</strong><strong><br></strong>We turn complex model outputs into clear, actionable explanations, helping analysts understand not just what was detected, but why it matters.</li> <li><strong>Continuous performance monitoring</strong><strong><br></strong>Real-time dashboards track model effectiveness, detect drift early, and support informed decisions on retraining or replacement.</li> <li><strong>Human-in-the-loop controls</strong><strong><br></strong>Configurable workflows ensure critical actions receive human oversight, balancing automation with expert judgment.</li> <li><strong>Built-in validation and testing</strong><strong><br></strong>Integrated testing and adversarial simulations help teams verify model resilience as threats evolve.</li> <li><strong>Governance-ready documentation</strong><strong><br></strong>Compliance and governance documentation – including model details and decision logs – is generated automatically, reducing operational overhead.</li> </ul><p>We believe the future of cybersecurity lies in AI that strengthens human expertise, not replaces it. Seceon’s governance-first approach ensures organizations retain clarity, control, and confidence as AI becomes central to security operations.</p><h2 class="wp-block-heading"><strong>Looking Ahead: The Future of AI Governance</strong></h2><p>AI governance in cybersecurity will only grow more critical as AI systems become more sophisticated and autonomous. Emerging technologies like large language models (LLMs) for security analysis, generative AI for threat simulation, and reinforcement learning for adaptive defense create new governance challenges alongside new capabilities.</p><p>Organizations should prepare for governance requirements that extend beyond individual models to encompass entire AI ecosystems. As AI systems increasingly interact with each other, governance frameworks must address emergent behaviors, cascading failures, and the complex interdependencies that arise when multiple AI systems collaborate in security operations.</p><p>The organizations that thrive will be those that view AI governance not as a constraint but as a competitive advantage. Trustworthy AI systems attract customers, satisfy regulators, and empower security teams to focus on strategic challenges rather than firefighting AI-induced incidents. Governance creates the foundation for sustainable AI adoption that delivers lasting value.</p><p style="font-size:30px"><strong>Conclusion: Taking Action Today</strong></p><p><strong>AI governance in cybersecurity</strong> is an ongoing effort that requires <strong>collaboration</strong>, <strong>adaptability</strong>, and <strong>clear accountability</strong>. Organizations don’t need perfect frameworks to begin – they need <strong>practical foundations</strong>, such as understanding where AI is used, assigning <strong>clear ownership</strong>, and <strong>continuously monitoring performance</strong>.</p><p>The most effective security teams treat AI as a powerful tool guided by human judgment, not a black box operating unchecked. By balancing automation with transparency and oversight, organizations can build resilient security programs that earn trust and scale responsibly. Those who commit to strong AI governance today will be best positioned to lead as threats and technologies evolve.</p><figure class="wp-block-image size-large"><a href="https://seceon.com/contact-us/"><img decoding="async" width="1024" height="301" src="https://seceon.com/wp-content/uploads/2024/12/Footer-for-Blogs-3-1-1024x301.jpg" alt="Footer-for-Blogs-3" class="wp-image-22913" srcset="https://seceon.com/wp-content/uploads/2024/12/Footer-for-Blogs-3-1-1024x301.jpg 1024w, https://seceon.com/wp-content/uploads/2024/12/Footer-for-Blogs-3-1-530x156.jpg 530w, https://seceon.com/wp-content/uploads/2024/12/Footer-for-Blogs-3-1-300x88.jpg 300w, https://seceon.com/wp-content/uploads/2024/12/Footer-for-Blogs-3-1-768x226.jpg 768w, https://seceon.com/wp-content/uploads/2024/12/Footer-for-Blogs-3-1.jpg 1200w" sizes="(max-width: 1024px) 100vw, 1024px"></a></figure><p>The post <a href="https://seceon.com/ai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security/">AI Governance in Cybersecurity: Building Trust and Resilience in the Age of Intelligent Security</a> appeared first on <a href="https://seceon.com/">Seceon Inc</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/ai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security/" data-a2a-title="AI Governance in Cybersecurity: Building Trust and Resilience in the Age of Intelligent Security"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security%2F&amp;linkname=AI%20Governance%20in%20Cybersecurity%3A%20Building%20Trust%20and%20Resilience%20in%20the%20Age%20of%20Intelligent%20Security" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security%2F&amp;linkname=AI%20Governance%20in%20Cybersecurity%3A%20Building%20Trust%20and%20Resilience%20in%20the%20Age%20of%20Intelligent%20Security" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security%2F&amp;linkname=AI%20Governance%20in%20Cybersecurity%3A%20Building%20Trust%20and%20Resilience%20in%20the%20Age%20of%20Intelligent%20Security" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security%2F&amp;linkname=AI%20Governance%20in%20Cybersecurity%3A%20Building%20Trust%20and%20Resilience%20in%20the%20Age%20of%20Intelligent%20Security" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security%2F&amp;linkname=AI%20Governance%20in%20Cybersecurity%3A%20Building%20Trust%20and%20Resilience%20in%20the%20Age%20of%20Intelligent%20Security" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://seceon.com/">Seceon Inc</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Anamika Pandey">Anamika Pandey</a>. Read the original post at: <a href="https://seceon.com/ai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security/">https://seceon.com/ai-governance-in-cybersecurity-building-trust-and-resilience-in-the-age-of-intelligent-security/</a> </p>

<h2>Introduction to Tech Mobility and Visa Logic</h2><p>Ever tried to book a flight for a dev conference only to realize your passport expires in a month? It's a total nightmare, especially when you're trying to navigate the messy logic of international mobility and tech paperwork.</p><p>Most of us just want to push code, but if you're heading to a summit in SF or a workshop in New York, you gotta understand the B-1 vs B-2 distinction. According to the <a href="https://travel.state.gov/content/travel/en/us-visas/tourism-visit/visitor.html/visa">U.S. Department of State</a>, the <strong>B-1 visa</strong> is for business—like negotiating contracts or hitting up a tech convention—while <strong>B-2</strong> is for pure tourism or medical stuff.</p><ul> <li><strong>Conferences and Networking</strong>: If you're attending a scientific or educational convention, you're looking at a B-1. It's not for "work" in the sense of getting a salary from a u.s. company, but for professional development.</li> <li><strong>Wait Times and Digital Shifts</strong>: Wait times vary wildly by city. A 2025 update from the <a href="https://harris.uchicago.edu/admissions/blog/frequently-asked-questions-visa-application-process">University of Chicago Harris School</a> notes that while some embassies prioritize student or exchange visas, business visitors often face unpredictable backlogs.</li> <li><strong>Identity and Security</strong>: With credential stuffing and data breaches being so common, the visa process now uses "ink-free" digital fingerprinting. This adds a layer of biometric security to your digital identity profile before you even hit the border.</li> </ul><p><img decoding="async" src="https://cdn.pseo.one/67b62b766899109fe72fb789/687e6cccf6fe799d28851ea0/visa-application-process-costs-and-requirements/mermaid-diagram-1.svg" alt="Diagram 1"></p><p>The cost is another thing—it's $185 now for a standard non-petition visa as per the <a href="https://travel.state.gov/content/travel/en/us-visas/visa-information-resources/fees/fees-visa-services.html">Official Fee Schedule</a>. Just don't forget that paying the fee doesn't guarantee the visa actually gets approved.</p><p>Anyway, once you've figured out which bucket you fall into, you gotta deal with the actual application forms, which is where things get really fun. Let's look at the ds-160 next.</p><h2>The Core Components of the Visa Application Process</h2><p>Ever felt like you're debugging a legacy codebase with zero documentation? That's basically the ds-160 for you. It's the primary interface between you and the u.s. government, and if your input validation isn't perfect, the whole pipeline breaks.</p><p>The ds-160 is where your digital identity starts. You’ve gotta be precise because once you hit submit, that record is immutable for your current application cycle.</p><ul> <li><strong>The ds-160 Flow</strong>: You start by generating an application id. Keep this safe; the session timeouts are aggressive, and you’ll be reloading this more than a flaky dev server. As mentioned earlier, you'll need to upload a digital photo that meets strict specs. If the upload fails, don't panic—just bring a physical 2×2 inch color photo to the interview as backup.</li> <li><strong>CIP Code Logic</strong>: If you're looking at a student or exchange track like the mscapp program at the university of chicago, you might notice the program name on your i-20 doesn't match your degree exactly. This is because the government uses <strong>cip codes</strong> (Classification of Instructional Programs). As previously discussed by the University of Chicago Harris School, these codes are assigned by the u.s. government to map academic programs to standardized categories for tracking.</li> <li><strong>Biometric Integration</strong>: Your digital profile isn't just text. Part of the "security stack" includes ink-free, digital fingerprinting. Usually, this happens at the interview, but some locations have you do it at a separate biometric center first.</li> </ul><blockquote> <p>"Incomplete or incorrect forms will be returned and will require you to schedule a new interview appointment," according to <a href="https://sample2.usembassy.gov/visas-non-gss/tourism-visitor/how-to-apply/">How to Apply for Tourism &amp; Visitor Visas</a> – this source provides the step-by-step requirements for submitting the ds-160 and passport.</p> </blockquote><p><img decoding="async" src="https://cdn.pseo.one/67b62b766899109fe72fb789/687e6cccf6fe799d28851ea0/visa-application-process-costs-and-requirements/mermaid-diagram-2.svg" alt="Diagram 2"></p><p>Once the form is in, you hit the scheduling bottleneck. This is where the latency really kicks in.</p><ul> <li><strong>Wait Time Variance</strong>: Not all queues are equal. Most embassies prioritize f1 (student) or j1 (exchange) visas over standard b-1 business ones. Proposed systems for the 2026 World Cup suggest that international ticket holders might get access to prioritized systems like <strong>FIFA PASS</strong>—an official u.s. state department initiative designed to streamline entry for major global events—to cut down on wait times.</li> <li><strong>Ties to Home Country</strong>: This is the "logic check" for the consular officer. Under u.s. law, every applicant is viewed as an intending immigrant until they prove otherwise. For a software engineer, this means showing evidence of a stable job, family, or property—basically, reasons why you won't just "stay in the cloud" once you land.</li> <li><strong>The Interview Experience</strong>: It's usually a 2-3 minute conversation. They'll ask about your destination and who’s paying. If you're heading to a fintech summit or a healthcare ai workshop, have your invitation letter ready, even if it's not "officially" required.</li> </ul><p>Honestly, the interview is less about the paperwork and more about the "vibe check" on your intent. If you've got your confirmation page and receipt ready, you're halfway there.</p><p>Once you clear the interview, you just gotta wait for the passport to be shipped back. But before you get that stamp, we need to talk about the actual "billing" side of things—the fees and hidden costs.</p><h2>Breaking Down the Costs: Fees You Cant Avoid</h2><p>So you've survived the ds-160 and didn't throw your laptop out the window during the photo upload. Now comes the part where the u.s. government actually bills you for the privilege of all this paperwork.</p><p>It's not just a flat fee for everyone—the pricing logic is tiered based on your visa class, and there are some "hidden" costs that can catch you off guard if you aren't looking at the logs.</p><p>The baseline for most of us is the mrv (Machine Readable Visa) fee. As noted earlier in the official fee schedule, the standard cost for a b-1 business or b-2 tourist visa is $185. This same $185 price point applies to f-1 students and j-1 exchange visitors too.</p><p>But if you're a dev moving for a specific role, the fee structure gets more expensive. Petition-based visas like the h-1b for specialized workers or o-1 for "extraordinary ability" (basically the 10x engineers) jump to $205.</p><ul> <li><strong>The $185 Base</strong>: Covers b, f, j, i, and m categories. Honestly, it's the "entry-level" tier.</li> <li><strong>The $205 Petition Tier</strong>: This is for h, l, o, p, q, and r visas. If your company is filing a petition for you, expect this.</li> <li><strong>The E-Category Peak</strong>: If you're a treaty trader or investor (E-1/E-2), you're looking at $315 per person.</li> </ul><p>One thing people always miss is the <strong>reciprocity fee</strong>. As previously discussed by the u.s. department of state, this is an extra "issuance fee" that depends on your nationality. If your country charges americans more for a visa, the u.s. returns the favor. You only pay this if the visa is actually approved.</p><p>If you're working for a larger firm or a startup with a complex structure, the "billing" gets weird. There are backend fees that aren't always visible on the main landing page but will absolutely show up on the invoice.</p><p>For example, if you’re applying for an l-1 visa (intracompany transferee) under a blanket petition, there is a $500 <strong>fraud prevention and detection fee</strong>. It's basically a mandatory security audit fee you pay at the consulate.</p><ul> <li><strong>Consolidated Appropriations Act Fee</strong>: This is a massive $4,500 hit. It's important to note this is a petitioner (employer) cost, not an individual applicant fee, so don't panic if you're just the one being hired.</li> <li><strong>sevis Fees</strong>: If you're on an f or j visa, you have to pay the sevis fee <em>before</em> your interview. This is separate from the $185 mrv fee and maintains your record in the student tracking system.</li> <li><strong>evus Enrollment</strong>: For chinese citizens with 10-year b-1/b-2 visas, there's a $30 fee every two years to update your info via the electronic visa update system.</li> </ul><p><img decoding="async" src="https://cdn.pseo.one/67b62b766899109fe72fb789/687e6cccf6fe799d28851ea0/visa-application-process-costs-and-requirements/mermaid-diagram-3.svg" alt="Diagram 3"></p><blockquote> <p>According to the Official Fee Schedule, nonimmigrant visa application processing fees are tiered and non-refundable, so if you mess up the form and get denied, that money is gone.</p> </blockquote><p>Anyway, once you've settled the bill and got your receipts, the next step is actually proving you deserve the stamp. We'll dive into the specific document stack you need to carry into the embassy next.</p><h2>Security and Authentication in Visa Systems</h2><p>Ever wonder why you have to give your fingerprints to a machine just to attend a dev conference? It’s because the stakes for identity theft in gov systems are massive, and honestly, traditional passwords just aren't cutting it anymore.</p><p>The same security principles protecting visa data—like biometric verification and encrypted records—are being adopted by private tech companies to secure user identities. When you’re filling out the ds-160, you are basically handing over a goldmine of personally identifiable information (pii). We're talking passport numbers, home addresses, and even family history. </p><p>The problem is that visa portals are huge targets for credential stuffing and ai-driven phishing. If a bad actor gets into your account, they don't just see your travel plans; they get enough data to steal your entire digital life. </p><p>To handle this, modern ciam (Customer Identity and Access Management) systems have to manage millions of identities while keeping the "front door" secure. Most gov sites are moving toward more robust security, but the legacy password-reset flow is still a major weak point.</p><p><img decoding="async" src="https://cdn.pseo.one/67b62b766899109fe72fb789/687e6cccf6fe799d28851ea0/visa-application-process-costs-and-requirements/mermaid-diagram-4.svg" alt="Diagram 4"></p><p>Passwordless authentication is the real fix here. By removing the password from the equation, you eliminate the risk of users reusing their "p@ssword123" from a breached retail site on a federal portal.</p><p>If you're building high-stakes portals—whether for travel, finance, or healthcare—you need to reduce friction without killing security. This is where <strong>MojoAuth</strong> comes in. It lets you swap out clunky passwords for magic links, biometrics, or mfa.</p><p>For a developer, integrating this means you don't have to build a complex auth backend from scratch. You can implement a secure login flow that feels like a modern api experience rather than a 1990s gov form.</p><ul> <li><strong>Magic Links and OTPs</strong>: Instead of remembering a 16-character string, users get a one-time link in their email. It’s faster and significantly harder to phish.</li> <li><strong>WebAuthn and Biometrics</strong>: You can leverage the hardware already in a user's phone or laptop (like FaceID or TouchID) to verify they are who they say they are.</li> <li><strong>B2B Compliance</strong>: In tech environments, staying compliant with data privacy laws is non-negotiable. <a href="http://mojoauth.com/">MojoAuth</a> helps by ensuring pii is handled through encrypted, standardized protocols.</li> </ul><p>Let's say you're building a tool for a retail chain to manage employee travel. Here is how you might trigger a passwordless login using a simple api call:</p><pre><code class="language-javascript">// Example: Initiating a magic link login mojoauth.signInWithEmail('<a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="b3d7d6c59dc7c1d2c5d6dfd6c1f3d6cbd2dec3dfd69dd0dcde">[email protected]</a>').then(response =&gt; { console.log("Magic link sent! Check your inbox."); }).catch(error =&gt; { console.error("Auth failed:", error.message); }); </code></pre><p>As mentioned earlier by the u.s. department of state, "ink-free" digital fingerprinting is already the standard for the physical side of visa security. It only makes sense that the digital side catches up with passwordless tech.</p><blockquote> <p>According to the U.S. Department of State, "Ink-free, digital fingerprint scans are taken as part of the application process," usually during the interview, to ensure the biometric profile matches the digital record.</p> </blockquote><p>Honestly, the less we rely on human memory for security, the better. When you're dealing with millions of applicants, you need a system that scales without becoming a liability.</p><p>Now that we've looked at how to keep your data from getting pwned, we need to talk about the actual "stack" of paper you have to carry into the embassy. It’s a lot more than just your passport.</p><h2>Technical Requirements and Documentation</h2><p>Ever tried to boarding a plane with a folder full of papers only to realize you missed the one doc that actually proves you can afford the trip? It's a classic dev mistake—focusing so much on the logic of the ds-160 that you forget the physical "stack" required at the embassy.</p><p>When you walk into that interview, you aren't just a person; you're a data packet that needs to be verified. The consular officer is basically running a manual validation script on your intent.</p><ul> <li><strong>Passport validity</strong>: This is the big one. Your passport has to be valid for at least six months beyond your stay. As mentioned earlier by the u.s. department of state, this is a hard requirement unless your country has a specific exemption.</li> <li><strong>Financial proof</strong>: You gotta show you can pay for the trip. This isn't just a bank statement; it could be sponsorship docs or a letter from your company if they’re footing the bill for a conference in SF or a dev summit.</li> <li><strong>Technical CVs</strong>: While B-1 visitors don't usually need a CV, those in highly technical fields may be asked for one during "Administrative Processing" (Section 221(g)). For h-1b or specialized roles, bring a resume that actually explains what you do. If you work in "cloud infrastructure" or "healthcare ai", have a project description ready that doesn't sound like gibberish to a non-tech person.</li> </ul><p><img decoding="async" src="https://cdn.pseo.one/67b62b766899109fe72fb789/687e6cccf6fe799d28851ea0/visa-application-process-costs-and-requirements/mermaid-diagram-5.svg" alt="Diagram 5"></p><p>Honestly, the "six-month rule" trips up more engineers than you'd think. If your passport expires in five months, the system will reject you before you even get to the interview. </p><p>As previously discussed by the University of Chicago Harris School, you also need to make sure your full legal name on the i-20 or petition matches your passport exactly. Any mismatch in the string comparison will cause a "404: Applicant Not Found" vibe that delays everything.</p><p>If you're heading to a niche event, like a fintech security workshop, bring the invitation letter. Even if it's not "officially" required, it helps the officer understand why a retail dev needs to fly halfway across the world.</p><p>Once you’ve got your paper stack sorted, you’re ready for the final boss: the interview and the actual issuance. Let's look at what happens after you get that "visa approved" nod.</p><h2>Conclusion and Future of Digital Visas</h2><p>So, you finally got that stamp in your passport? Honestly, the hardest part is usually just the waiting game, but the tech behind these systems is evolving fast.</p><p>By 2026, things are gonna look way different as the u.s. prepares for massive events. Here is what you should keep an eye on for the future of travel:</p><ul> <li><strong>The World Cup Surge</strong>: Anticipated 2026 updates suggest the government is rolling out <strong>FIFA PASS</strong> to handle the influx. If you're a dev heading to a match, this prioritized scheduling system helps bypass the usual backlog.</li> <li><strong>Digital Visa Stamps</strong>: We're moving toward a paperless stack. Expect more e-visas where your "stamp" is just a record in a database, verified by biometrics at the gate.</li> <li><strong>Improved Auth</strong>: Systems are slowly ditching passwords. A 2025 update from the University of Chicago Harris School notes that while student visas are the current priority, business visitors often face unpredictable backlogs, which is driving a broader tech overhaul.</li> </ul><p><img decoding="async" src="https://cdn.pseo.one/67b62b766899109fe72fb789/687e6cccf6fe799d28851ea0/visa-application-process-costs-and-requirements/mermaid-diagram-6.svg" alt="Diagram 6"></p><p>Just remember, even with better ai and faster apis, the core logic remains the same: prove your ties to home and keep your docs precise. 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Read the original post at: <a href="https://mojoauth.com/blog/visa-application-process-costs-and-requirements">https://mojoauth.com/blog/visa-application-process-costs-and-requirements</a> </p>

<ul><li>Understanding the Effects of Technology on Economics and Governance</li></ul>A new edition of the Stanford Emerging Technology Review,the product of a major technology education initiative fo… [+8890 chars]

<figure class="wp-block-image size-full"><a href="https://raffy.ch/blog/wp-content/uploads/2026/02/ChatGPT-Image-Feb-3-2026-09_58_04-AM.jpg"><img fetchpriority="high" decoding="async" width="800" height="533" src="https://raffy.ch/blog/wp-content/uploads/2026/02/ChatGPT-Image-Feb-3-2026-09_58_04-AM.jpg" alt="" class="wp-image-1591" srcset="https://raffy.ch/blog/wp-content/uploads/2026/02/ChatGPT-Image-Feb-3-2026-09_58_04-AM.jpg 800w, https://raffy.ch/blog/wp-content/uploads/2026/02/ChatGPT-Image-Feb-3-2026-09_58_04-AM-300x200.jpg 300w, https://raffy.ch/blog/wp-content/uploads/2026/02/ChatGPT-Image-Feb-3-2026-09_58_04-AM-768x512.jpg 768w" sizes="(max-width: 800px) 100vw, 800px"></a></figure><p>I have been talking to a few AI SOC and new <a href="https://raffy.ch/blog/2025/12/17/why-venture-capital-is-betting-against-traditional-siems/">SIEM market</a> entrants over the past few weeks. I have voiced some opinions in <a href="https://raffy.ch/blog/2026/01/16/how-ai-impacts-the-cyber-market-and-the-future-of-siem/">previous posts</a> but have now started to capture a list of features that I believe represent the openings existing SIEM players have created in the market for these new vendors to emerge.</p><p>Before I outline what I think those features are, let me be clear: this is my list. I am aware that existing SIEM vendors will claim that they already do many of these things. All I will say is this: market churn and capital flow suggest that these capabilities are either not as mature or not as integrated as claimed.</p><p>And to the AI SOC companies and investors: be careful about the short-term problems your investments are solving. Yes, there is real traction with MSSPs that are overloaded with false positives. And yes, many will gladly pay to reduce alert workload by 80%. But in many cases, these problems are being addressed superficially. Make sure you audit the underlying approaches and verify that the foundational infrastructure is sound. Solving this problem on top of an existing detection infrastructure doesn’t solve the problem at the core, which is the detections themselves. We need to fix those with some of the suggestions below to not needing a top-layer, alert reducer. </p><p>Without further ado, here are the items I am tracking. I welcome other opinions and additions to the list (no guarantee I will include them). Over the coming weeks, I will also try to rate some of the players across these categories to enable comparison. I could use help with that. Ping me.</p><h3 class="wp-block-heading">A. DATA &amp; CONTROL PLANE ARCHITECTURE</h3><ul class="wp-block-list"> <li><strong>Federation</strong> – The ability to query and reason over data where it lives, without forced centralization.<br>(Another post following here at some point about the limitations of federation).</li> <li><strong>Data Pipeline</strong> <strong>Optimization</strong> – Dynamic ingestion pipelines that enrich, route, sample, and filter data based on use case, risk, and downstream value. Not static “send everything to the lake.”</li> <li><strong>Data Awareness</strong> – Understanding what data exists, what is missing, and what has silently degraded. The system must continuously reason about its own observability.</li> <li><strong>Performance as a First-Class Constraint</strong> – Fast joins and low-latency queries across all relevant data. Real-time rule execution at scale. This is not about basic scalability, but about maintaining predictable performance as rule count and complexity increase, without simply throwing more compute at the problem.</li> <li><strong>Modern AI Integration</strong> – The ability to integrate with emerging architectural patterns and frameworks, including MCP servers, vector stores, and related systems.</li> </ul><h3 class="wp-block-heading">B. DETECTION &amp; LEARNING SYSTEMS</h3><ul class="wp-block-list"> <li><strong>Hypothesis-Driven Hunting</strong> – Hunting should start with explicit hypotheses, not ad-hoc queries. These hypotheses should evolve, fork, and self-update based on outcomes. Agents swarms anyone?</li> <li><strong>Automated Detection Tuning (Closed Loop)</strong> – Detections must evaluate their precision and recall over time. False positives and false negatives are signals. Humans stay in the loop, but are not the tuning engine. This also helps separate the detection engineering from the tuning that should be done by analysts.</li> <li><strong>Environment-Adaptive Detections</strong> – Rules and models must adapt automatically to the specific environment, business processes, and user behavior and analyst feedback. Generic detections are table stakes.</li> <li><strong>Detection Lineage and Memory</strong> – The system must remember why a detection exists, how it has changed, and what outcomes it has historically produced.</li> </ul><h3 class="wp-block-heading">C. ENTITY-CENTRIC RISK &amp; CONTEXT</h3><ul class="wp-block-list"> <li><strong>Asset Awareness </strong>– Effective protection and detection start with understanding what is being protected. Entity visibility is foundational: who owns this entity, what does it do, and which business processes does it support?</li> <li><strong>Real-Time Entity Risk Scoring</strong> – Each entity has a continuously updated risk score driven by behavior, exposure, and contextual signals.</li> <li><strong>Entity Risk Context</strong> – Risk is not a number. It is a set of properties that help explain the risk and provide context for decision making.</li> <li><strong>Business Context Integration</strong> – Entities must be tied to business processes, ownership, and criticality, and this context must inform alert generation and prioritization. Some people have started calling this the <a href="https://foundationcapital.com/context-graphs-one-month-in/">Context Graph</a>. </li> </ul><h3 class="wp-block-heading">D. OPERATIONAL REALITY (SOC, MSSP, ENFORCEMENT)</h3><ul class="wp-block-list"> <li><strong>Simple Query</strong> <strong>Interface</strong>: Support for both natural language and structured query languages (such as KQL). Analysts need both.</li> <li><strong>Alert Triage Automation</strong> – Using ‘advanced’ context to tune detections. Ideally we have business context available to continuously improve our detections.</li> <li><strong>Blindspot Detection</strong> – The system must actively identify where detections cannot exist due to missing or degraded logs or logging configurations. This includes making sure that log sources are actually staying up and keep reporting what they have to.</li> <li><strong>Real-Time Readiness for Enforcement</strong> – We need our systems to become preventative. Therefore, its risk model must operate in near real time. Attackers are acting too fast.</li> </ul><h2 class="wp-block-heading">A Few Additional Comments for Context</h2><p>This is not meant to be a SIEM RFP. I am intentionally not listing table-stakes capabilities such as basic scalability, data source support, or baseline detection depth.</p><p>This list is less about features than about where intelligence and control actually live in the system. I am also not being prescriptive on how these features are built. Many of them can benefit from AI / LLM / ML approaches and, in fact, should be using them.</p><p>Look at the list, then look at your AI SOC platform of choice. How much of the above does it truly cover?</p><p>If you are evaluating an AI SOC platform and most of its value proposition lives above alerts rather than below them, you should be skeptical.</p><p>The post <a href="https://raffy.ch/blog/2026/02/03/the-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors/">The Gaps That Created the New Wave of SIEM and AI SOC Vendors</a> first appeared on <a href="https://raffy.ch/blog">Future of Tech and Security: Strategy &amp; Innovation with Raffy</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/the-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors/" data-a2a-title="The Gaps That Created the New Wave of SIEM and AI SOC Vendors"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors%2F&amp;linkname=The%20Gaps%20That%20Created%20the%20New%20Wave%20of%20SIEM%20and%20AI%20SOC%20Vendors" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors%2F&amp;linkname=The%20Gaps%20That%20Created%20the%20New%20Wave%20of%20SIEM%20and%20AI%20SOC%20Vendors" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors%2F&amp;linkname=The%20Gaps%20That%20Created%20the%20New%20Wave%20of%20SIEM%20and%20AI%20SOC%20Vendors" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors%2F&amp;linkname=The%20Gaps%20That%20Created%20the%20New%20Wave%20of%20SIEM%20and%20AI%20SOC%20Vendors" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors%2F&amp;linkname=The%20Gaps%20That%20Created%20the%20New%20Wave%20of%20SIEM%20and%20AI%20SOC%20Vendors" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://raffy.ch/blog">Future of Tech and Security: Strategy &amp;amp; Innovation with Raffy</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Raffael Marty">Raffael Marty</a>. Read the original post at: <a href="https://raffy.ch/blog/2026/02/03/the-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors/">https://raffy.ch/blog/2026/02/03/the-gaps-that-created-the-new-wave-of-siem-and-ai-soc-vendors/</a> </p>

<p>A massive “invisible workforce” of autonomous digital workers has arrived in the corporate world, but new research suggests it may be operating largely out of control.</p><p>Large enterprises across the U.S. and UK have already deployed 3 million AI agents, according to a study released by Gravitee, an open-source leader in API and agentic management. However, nearly half of these agents, or about 1.5 million, are currently running without active oversight or security protocols.</p><p>While AI agents promise unprecedented productivity gains, the speed of adoption is outpacing the ability of security teams to manage them. Gravitee’s survey of 750 CTOs and technical VPs revealed 47% of agents are ungoverned, leaving them at risk of going rogue.</p><p>In a technical context, a rogue agent is one that exhibits unintended behaviors, such as making unauthorized financial decisions, exposing sensitive consumer data, or triggering massive security breaches.</p><p>“There are now over 3 million AI agents operating within corporations—a workforce larger than the entire global employee count of Walmart,” Gravitee CEO Rory Blundell said. “But far too often, these agents are left unchecked. Without governance, they stop being productivity tools and start becoming liabilities.”</p><p>The danger is not merely theoretical. The report discovered a staggering 88% of firms have either experienced or suspected a security or data privacy incident related to AI agents in the last 12 months. Documented missteps include agents acting on outdated information, leaking confidential data, and, in extreme cases, deleting entire databases without permission.</p><p>As firms prepare to deploy millions more agents in 2026, the industry is reaching a breaking point. Experts warn that the same discipline applied to traditional software and APIs must now be extended to the Agent-to-Agent (A2A) ecosystem.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/the-invisible-risk-1-5-million-unmonitored-ai-agents-threaten-corporate-security/" data-a2a-title="The ‘Invisible Risk’: 1.5 Million Unmonitored AI Agents Threaten Corporate Security"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-invisible-risk-1-5-million-unmonitored-ai-agents-threaten-corporate-security%2F&amp;linkname=The%20%E2%80%98Invisible%20Risk%E2%80%99%3A%201.5%20Million%20Unmonitored%20AI%20Agents%20Threaten%20Corporate%20Security" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-invisible-risk-1-5-million-unmonitored-ai-agents-threaten-corporate-security%2F&amp;linkname=The%20%E2%80%98Invisible%20Risk%E2%80%99%3A%201.5%20Million%20Unmonitored%20AI%20Agents%20Threaten%20Corporate%20Security" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-invisible-risk-1-5-million-unmonitored-ai-agents-threaten-corporate-security%2F&amp;linkname=The%20%E2%80%98Invisible%20Risk%E2%80%99%3A%201.5%20Million%20Unmonitored%20AI%20Agents%20Threaten%20Corporate%20Security" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-invisible-risk-1-5-million-unmonitored-ai-agents-threaten-corporate-security%2F&amp;linkname=The%20%E2%80%98Invisible%20Risk%E2%80%99%3A%201.5%20Million%20Unmonitored%20AI%20Agents%20Threaten%20Corporate%20Security" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fthe-invisible-risk-1-5-million-unmonitored-ai-agents-threaten-corporate-security%2F&amp;linkname=The%20%E2%80%98Invisible%20Risk%E2%80%99%3A%201.5%20Million%20Unmonitored%20AI%20Agents%20Threaten%20Corporate%20Security" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<p>The accelerating month-long fury over xAI’s Grok chatbot feature that lets X users alter any images posted to the social network – a feature that has led to millions of nonconsensual and sexualized images of women and children – escalated this week when French authorities searched X’s offices in Paris and summoned Elon Musk to appear for questioning.</p><p>At the same time, the UK’s Information Commissioner’s Office (ICO) <a href="https://ico.org.uk/about-the-ico/media-centre/news-and-blogs/2026/02/ico-announces-investigation-into-grok/" target="_blank" rel="noopener">announced</a> that it has opened formal investigations into X and xAI due to the new Grok tool and the sexualized images and videos that it is generating.</p><p>In a statement, William Malcolm, the ICO’s executive director of regulatory risk and innovation, said “the reports about Grok raise deeply troubling questions about how people’s personal data has been used to generate intimate or sexualised images without their knowledge or consent, and whether the necessary safeguards were put in place to prevent this. Losing control of personal data in this way can cause immediate and significant harm. This is particularly the case where children are involved.”</p><p>The feature introduced to Grok in late December 2025 allows X users to edit posted images immediately and without the consent of the people who initially post them. Soon after, such sexualized and intimate deepfake images of people – particularly women and minors – began appearing on X, touching off a far-reaching firestorm of criticism that included government officials and regulatory agencies, advocacy groups and individuals.</p><p>In mid-January, Musk announced the controversial feature would be available only to paying subscribers on X and that guardrails, such as changing Grok responses to some prompts, were implemented, with Musk saying it would stem the posting of the controversial images. However, the guardrails are <a href="https://www.theverge.com/news/861894/grok-still-undressing-in-uk" target="_blank" rel="noopener">easily bypassed</a>, according to numerous reports, and while it may have slowed the number of such images, it didn’t eliminate them.</p><h3>France Takes Action</h3><p>Now, European governments are taking the next steps. <a href="https://www.nbcnews.com/world/europe/france-paris-prosecutors-x-office-elon-musk-sexual-deepfakes-holocaust-rcna257202" target="_blank" rel="noopener">According to NBC News</a>, the search of X’s Paris office was conducted by a prosecutor’s cybercrime unit, with both the distribution of the sexualized deepfakes and the Holocaust denial content on X as its targets. The prosecutor’s office said it was investigating a range of criminal offenses related to child pornography, violations of personal rights, and the denial of “crimes against humanity.”</p><p>The voluntary summons to come to France the week of April 20 to be questioned was sent out to Musk and former X CEO Linda Yaccarino. According to NBC News, neither has commented on the office raid or summons, though X executives last year said investigations by French authorities in regard to algorithm manipulation on the social media platform were <a href="https://x.com/GlobalAffairs/status/1947213316331282504" target="_blank" rel="noopener">part of a “political agenda”</a> to “restrict free speech.”</p><h3>Fierce Global Response</h3><p>The mounting global response to Grok, X, and Musk over the deepfake controversy suggests otherwise.  The European Union – which already has had an unrelated investigation into X since 2023, in January <a href="https://ec.europa.eu/commission/presscorner/detail/en/ip_26_203" target="_blank" rel="noopener">launched its own investigation</a> against the social media platform over the deepfake feature, with the probe coming under the EU’s Digital Services Act (DSA).</p><p>“Sexual deepfakes of women and children are a violent, unacceptable form of degradation,” Henna Virkkunen, executive vice president for tech sovereignty, security, and democracy, said in a statement. “With this investigation, we will determine whether X has met its legal obligations under the DSA, or whether it treated rights of European citizens – including those of women and children – as collateral damage of its service.”</p><p>Last month, the U.S. Senate <a href="https://19thnews.org/2026/01/senate-defiance-act-nonconsensual-images-deepfakes/" target="_blank" rel="noopener">passed the DEFIANCE Act</a> that would allow victims to sue the creators of nonconsensual sexually explicit deepfakes.</p><h3>Taking to the Courts</h3><p>There have been lawsuits filed, including one by the <a href="https://www.cnn.com/2026/01/15/business/elon-musk-son-mom-sues-grok-images" target="_blank" rel="noopener">mother of one of his children</a>, who said the chatbot generated sexually suggestive images of her without her consent. A <a href="https://storage.courtlistener.com/recap/gov.uscourts.cand.463184/gov.uscourts.cand.463184.1.0.pdf" target="_blank" rel="noopener">class action lawsuit</a> was in federal court in California last month.</p><p>“AI companies like xAI are familiar with these dangers to women and girls that their technology enables,” the lawsuit reads. “Most companies have taken action to implement guardrails to prevent their technology from being used to create sexual and revealing deepfakes of nonconsenting women. xAI, however, has chosen instead to capitalize on the internet’s seemingly insatiable appetite for humiliating non-consensual sexual images.”</p><p>The lawsuit adds that Grok not only doesn’t conform to industry standards, but it is also touting the capability, including with its “spicy” model used to produce the nonconsensual deepfakes.</p><h3>Organizations are Adding Pressure</h3><p>Advocacy groups have been outspoken about the deepfakes, with the Center for Countering Digital Hate writing on January 22 that an analysis of a sample of images indicates that the Grok tool has been used to <a href="https://counterhate.com/research/grok-floods-x-with-sexualized-images/" target="_blank" rel="noopener">generate about 3 million sexualized images</a>, including 23,000 “that appear to depict children.”</p><p>Some also are pushing tech companies that support the Grok chatbot and X – including those whose infrastructure they run on – to act. In letters to <a href="https://weareultraviolet.org/wp-content/uploads/2026/01/FINAL-Organizational-Sign-On-Letter_-Demand-Apple-Google-Remove-Grok-from-App-Stores-3.pdf" target="_blank" rel="noopener">Google’s Sundar Pichai</a> and <a href="https://weareultraviolet.org/wp-content/uploads/2026/01/FINAL-Organizational-Sign-On-Letter_-Demand-Apple-Google-Remove-Grok-from-App-Stores-1.pdf" target="_blank" rel="noopener">Apple’s Tim Cook</a> on January 14, 28 organizations urged the CEOs to ban Grok from their online stores, saying the “content that is both a criminal offense and in direct violation of” the app stores’ guidelines.</p><p>Google and Apple not only are enabling such offenses, but profiting from it, they wrote.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/french-police-raid-x-paris-office-summons-musk-over-grok-deepfakes/" data-a2a-title="French Police Raid X Paris Office, Summon Musk Over Grok Deepfakes"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Ffrench-police-raid-x-paris-office-summons-musk-over-grok-deepfakes%2F&amp;linkname=French%20Police%20Raid%20X%20Paris%20Office%2C%20Summon%20Musk%20Over%20Grok%20Deepfakes" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Ffrench-police-raid-x-paris-office-summons-musk-over-grok-deepfakes%2F&amp;linkname=French%20Police%20Raid%20X%20Paris%20Office%2C%20Summon%20Musk%20Over%20Grok%20Deepfakes" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Ffrench-police-raid-x-paris-office-summons-musk-over-grok-deepfakes%2F&amp;linkname=French%20Police%20Raid%20X%20Paris%20Office%2C%20Summon%20Musk%20Over%20Grok%20Deepfakes" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Ffrench-police-raid-x-paris-office-summons-musk-over-grok-deepfakes%2F&amp;linkname=French%20Police%20Raid%20X%20Paris%20Office%2C%20Summon%20Musk%20Over%20Grok%20Deepfakes" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Ffrench-police-raid-x-paris-office-summons-musk-over-grok-deepfakes%2F&amp;linkname=French%20Police%20Raid%20X%20Paris%20Office%2C%20Summon%20Musk%20Over%20Grok%20Deepfakes" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<div style="padding: 56.25% 0 0 0; position: relative;"><iframe style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;" title="AI Agents That Eliminate 90% of Security Vulnerabilities?" src="https://player.vimeo.com/video/1157594771?badge=0&amp;autopause=0&amp;player_id=0&amp;app_id=58479" frameborder="0"></iframe></div><p><script src="https://player.vimeo.com/api/player.js"></script></p><p data-start="195" data-end="664">Snir Ben Shimol, CEO and co-founder of Zest Security, talks about why vulnerability and exposure management has become one of the most stubborn problems in security operations. Ben Shimol argues that the numbers are getting worse, not better. Exploitation has become the top initial access path, new CVEs keep piling up and teams are still drowning in triage and remediation work that remains largely manual.</p><p data-start="666" data-end="1388">Zest’s answer is what it calls AI Sweeper Agents. The concept is straightforward: instead of handing security teams an even larger list of findings, use AI agents to determine which vulnerabilities in a specific environment are actually reachable and exploitable. Ben Shimol describes the agents as mimicking the work of a senior security engineer at scale. They ingest vulnerability details, identify the real requirements for exploitation and compare those requirements to evidence in the customer’s environment, such as network placement, permissions and configuration. If key conditions are missing, the vulnerability is swept out of the backlog. If the conditions are met, it stays for prioritization and remediation.</p><p data-start="1390" data-end="1747">Ben Shimol says this approach can eliminate the bulk of findings that teams feel compelled to chase, claiming Zest has swept more than 11 million vulnerabilities across customers. The result, he says, is waking up to a backlog that is dramatically smaller, leaving teams able to focus on the issues that actually matter rather than spending cycles on noise.</p><p data-start="1749" data-end="2089">The conversation also touches on a familiar friction point: audits and compliance. Ben Shimol notes that highly regulated customers initially faced pushback when large portions of a backlog disappeared, but argues that the agents provide evidence-based reasoning that auditors can review, turning subjective arguments into documented facts.</p><p data-start="2091" data-end="2288" data-is-last-node="" data-is-only-node="">For security leaders buried under vulnerability volume, this is a look at how agentic AI is being positioned to reduce manual triage and help teams focus remediation where it reduces risk.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/using-ai-agents-to-separate-real-risk-from-vulnerability-noise/" data-a2a-title="Using AI Agents to Separate Real Risk From Vulnerability Noise"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fusing-ai-agents-to-separate-real-risk-from-vulnerability-noise%2F&amp;linkname=Using%20AI%20Agents%20to%20Separate%20Real%20Risk%20From%20Vulnerability%20Noise" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fusing-ai-agents-to-separate-real-risk-from-vulnerability-noise%2F&amp;linkname=Using%20AI%20Agents%20to%20Separate%20Real%20Risk%20From%20Vulnerability%20Noise" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fusing-ai-agents-to-separate-real-risk-from-vulnerability-noise%2F&amp;linkname=Using%20AI%20Agents%20to%20Separate%20Real%20Risk%20From%20Vulnerability%20Noise" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fusing-ai-agents-to-separate-real-risk-from-vulnerability-noise%2F&amp;linkname=Using%20AI%20Agents%20to%20Separate%20Real%20Risk%20From%20Vulnerability%20Noise" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fusing-ai-agents-to-separate-real-risk-from-vulnerability-noise%2F&amp;linkname=Using%20AI%20Agents%20to%20Separate%20Real%20Risk%20From%20Vulnerability%20Noise" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<p>Like me, this news probably shocked almost all AI enthusiasts. The GenAI gold rush has apparently turned into a reckoning. And the fallout may be the next cyberattack.</p><p>A <a href="https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf" rel="noreferrer noopener nofollow">recent MIT report</a> reveals an unexpected twist in the AI market, making waves across boardrooms and leadership circles. The report, based on analysis of over 300 AI deployments, interviews with 52 organizations, and surveys from 153 senior leaders, reveals an uncomfortable truth.</p><p><strong>Despite $30–40 billion in enterprise investment in GenAI, up to 95% of organizations are getting zero return. No, that is not a typo. Ninety-five percent.</strong></p><p>The findings are sobering and, frankly, confirm what many of us in cybersecurity and digital transformation have been saying for years. Rushing the capability doesn’t guarantee you’ll capture the value. While large enterprises are running the most AI pilots, investing the most resources, and assembling the biggest teams, they’re reporting the lowest pilot-to-scale conversion rates. By contrast, mid-market companies moved more decisively, with top performers reporting average timelines of just 90 days from pilot to full implementation.</p><p>The malaise seems similar to the cybersecurity industry.</p><p>While the cybersecurity market approaches half a trillion dollars in 2025, attacks continue to rise rather than decline. While AI budgets explode, business impact remains elusive. And I’m convinced the real issue is the same in both domains.</p><p class="p-5 has-background" style="background-color:#e0f8f4"><strong>Are You Breach Ready?</strong> Uncover hidden lateral attack risks in just 5 days. <a href="https://colortokens.com/breach-readiness-assessment/">Get a free Breach Readiness and Impact Assessment</a> with a visual roadmap of what to fix first.</p><p><strong>An overreliance on technology to solve problems without investing in the foundational capabilities required to manage and adapt to it.</strong></p><p>While the world debates how to improve value and make AI projects more successful, I’ve been thinking about the breach exposure risks posed by abandoned AI projects.</p><p>It is no secret that increased digitalization and <em>adoption</em> of artificial intelligence have exponentially expanded the attack surface that threat actors can exploit. And fewer than 1% of organizations have adopted <a href="https://colortokens.com/microsegmentation/">microsegmentation</a> capabilities that can anticipate, withstand, and evolve from cyberattacks.</p><p>This means most organizations remain grossly unprepared and far from <a href="https://colortokens.com/breach-ready/">breach ready</a>.</p><p>The MIT report mentions that <em>“most organizations fall on the wrong side of the GenAI Divide: adoption is high, but disruption is low. Seven of nine sectors show little structural change. Enterprises are piloting GenAI tools, but very few reach deployment. Generic tools like ChatGPT are widely used, but custom solutions stall due to integration complexity and a lack of fit with existing workflows.”</em></p><p class="p-5 has-background" style="background-color:#e0f8f4"><a href="https://colortokens.com/blogs/ai-in-cybersecurity-microsegmentation/"><strong>Also Read:</strong></a> “Would You Like to Play a Game?” The AI-Accelerated Cyber Battlefield is Here Now</p><p>AI systems are not the same as traditional IT systems. They are data-hungry, often requiring access to multiple sensitive datasets; highly interconnected, spanning clouds, SaaS platforms, APIs, and internal systems; and continuously evolving, with changing models, features, and dependencies.</p><p>This poses even larger problems in Digital Industrial Systems (OT/ICS/CPS/IIoT/IoMD). These environments often rely on older, disparate machinery, making it difficult to aggregate data and leading to poor training sets. Because AI systems often do not understand the “common sense” or real-world physical constraints of a factory floor, they can be inaccurate, generate excessive false alerts, and quickly lose operator trust. More importantly, Digital Industrial Systems prioritize safety and reliability, and “up to 95%” accuracy from an AI system is simply unacceptable.</p><p>Despite this, most AI projects were architected using legacy security assumptions: trusted internal networks, broad east-west access, and perimeter-centric defenses. When business confidence waned, projects were paused or abandoned. However, pilots whose anomalies were initially tolerated in the name of speed quietly became persistent deployments, and temporary exceptions hardened into architecture.</p><p class="p-5 has-background" style="background-color:#e0f8f4"><a href="https://colortokens.com/report/forrester-wave-microsegmentation/"><strong>Access Forrester Wave<img decoding="async" src="https://s.w.org/images/core/emoji/17.0.2/72x72/2122.png" alt="™" class="wp-smiley" style="height: 1em; max-height: 1em;"> Report</strong></a> | Discover why ColorTokens was rated ‘Superior’ in OT, IoT, and Healthcare Security.</p><p>Abandoned AI projects and pilots also create unforeseen and often undetectable vulnerabilities. These can be exploited through AI-driven attacks that evade traditional cybersecurity tools, including prompt injection (via website content or emails), training data poisoning, subtle adversarial inputs (such as imperceptible noise added to data), model inversion and extraction, or even LLM jailbreaking to bypass safety controls.</p><p>From a breach-readiness standpoint, abandoned AI systems are more dangerous than actively managed ones — not only because they leave behind an “uncontained” blast radius due to AI workloads being placed in flat network segments with unrestricted lateral connectivity. Without microsegmentation, a compromised AI workload is not a single isolated incident. It becomes an entry point into the enterprise.</p><p><strong>Nonproductive or abandoned AI pilots do not reduce this blast radius; they freeze it in place.</strong></p><p>AI pipelines rely on service accounts, tokens, and API keys to function autonomously. When projects stop, these identities persist. Over time, they become invisible, unrotated, and highly attractive to attackers seeking low-noise access. Training datasets, feature stores, embeddings, and intermediate artifacts often contain regulated, proprietary, or mission-critical data. These artifacts are rarely classified, encrypted, or lifecycle-managed. Abandoned systems leave this data exposed and undetected.</p><p>However, the biggest risks they create are Shadow AI and supply chain attack exposure. Many AI initiatives integrate external model providers or data sources through weakly governed interfaces. Once projects stall, vendor oversight erodes, creating latent supply chain risk that is difficult to detect and even harder to explain after a breach.</p><p class="p-5 has-background" style="background-color:#e0f8f4"><a href="https://colortokens.com/blogs/microsegmentation-breach-readiness-2026/"><strong>Also Read:</strong></a> Containing the Inevitable: What Cyber Leaders Must Prepare for in 2026</p><p><strong>We need to act now.</strong></p><p>If my point of view sounds alarming, consider recent <a href="https://red.anthropic.com/2026/cyber-toolkits-update/" rel="noreferrer noopener nofollow">Anthropic red-teaming research</a>. In a recent evaluation of AI models’ cyber capabilities, current Claude models succeeded at multistage attacks on networks with dozens of hosts using only standard open-source tools, rather than the custom tooling required by previous generations. This demonstrates how quickly barriers to AI-driven cyber operations are falling and reinforces the importance of fundamentals like prompt patching of known vulnerabilities.</p><p>The bottom line: everyone needs to step up. Improve governance. Ensure all abandoned or unproductive AI projects are formally shut down and decommissioned. Most AI initiatives were designed to prevent breaches, not to survive them. The implicit assumption was that if controls were added later, risk would be manageable. In reality, AI systems amplify risk because they sit at the intersection of data, automation, and trust.</p><p>Breach readiness demands a different mindset: assume compromise, design for containment, and minimize blast radius by default. If you haven’t already, invest in foundational microsegmentation and run AI projects in isolated microsegments that are disconnected from production systems until least-privileged access is explicitly granted.</p><p><em>If AI expansion is increasing your exposure, <a href="https://colortokens.com/contact-us/">let’s talk</a> about containing risk and building true breach readiness.</em></p><p>The post <a href="https://colortokens.com/blogs/breach-readiness-ai-attack-surface-microsegmentation/">95% of AI Projects Are Unproductive and Not Breach Ready</a> appeared first on <a href="https://colortokens.com/">ColorTokens</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/95-of-ai-projects-are-unproductive-and-not-breach-ready/" data-a2a-title="95% of AI Projects Are Unproductive and Not Breach Ready"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2F95-of-ai-projects-are-unproductive-and-not-breach-ready%2F&amp;linkname=95%25%20of%20AI%20Projects%20Are%20Unproductive%20and%20Not%20Breach%20Ready" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2F95-of-ai-projects-are-unproductive-and-not-breach-ready%2F&amp;linkname=95%25%20of%20AI%20Projects%20Are%20Unproductive%20and%20Not%20Breach%20Ready" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2F95-of-ai-projects-are-unproductive-and-not-breach-ready%2F&amp;linkname=95%25%20of%20AI%20Projects%20Are%20Unproductive%20and%20Not%20Breach%20Ready" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2F95-of-ai-projects-are-unproductive-and-not-breach-ready%2F&amp;linkname=95%25%20of%20AI%20Projects%20Are%20Unproductive%20and%20Not%20Breach%20Ready" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2F95-of-ai-projects-are-unproductive-and-not-breach-ready%2F&amp;linkname=95%25%20of%20AI%20Projects%20Are%20Unproductive%20and%20Not%20Breach%20Ready" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://colortokens.com/">ColorTokens</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Agnidipta Sarkar">Agnidipta Sarkar</a>. Read the original post at: <a href="https://colortokens.com/blogs/breach-readiness-ai-attack-surface-microsegmentation/">https://colortokens.com/blogs/breach-readiness-ai-attack-surface-microsegmentation/</a> </p>

<p>As January 2026 comes to a close, Sonrai’s latest review of newly released AWS permissions highlights a sharp expansion of privilege concentrated in networking, traffic control, and collaboration services. This month’s updates focus heavily on AWS Network Firewall, Route 53 Global Resolver, EC2 networking controls, and cross-account data collaboration, introducing new ways to reroute traffic, weaken filtering, expand network reach, and expose shared data.</p><p>Taken together, these permissions reinforce a critical cloud security reality: privilege increasingly lives in routing decisions and configuration layers, not just identity policies. From bypassing DNS and proxy-based protections to expanding access across VPCs and external accounts, each change subtly reshapes trust boundaries and increases the blast radius of misuse. Security teams must stay vigilant, as these non-obvious privileges continue to redefine the cloud attack surface through the very controls meant to secure it.</p><h2 class="wp-block-heading">Existing Services with New Privileged Permissions</h2><h3 class="wp-block-heading">AWS Clean Rooms</h3><p><strong>Service Type: Data and Analytics</strong></p><h4 class="wp-block-heading">Permission: cleanrooms:UpdateCollaborationChangeRequest</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update a change request in a collaboration</li> <li><strong>Mitre Tactic:</strong> Exfiltration</li> <li><strong>Why it’s privileged: </strong>Allows approving or modifying change requests that expand what external AWS accounts can do within a collaboration, potentially granting access to additional data through analysis templates.</li> </ul><h3 class="wp-block-heading">AWS Network Firewall</h3><p><strong>Service Type: Security Services</strong></p><h4 class="wp-block-heading">Permission: network-firewall:UpdateProxyRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update an existing proxy rule on a proxy rule group</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows modification of proxy rules designed to block malicious or unauthorized traffic, potentially permitting traffic that would otherwise be filtered.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:AttachRuleGroupsToProxyConfiguration</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to attach proxy rule groups to a proxy configuration</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows attaching rule groups with broad allow rules early in a proxy configuration, potentially permitting malicious traffic to bypass filtering.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:UpdateProxyConfiguration</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to modify a proxy configuration</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows changing proxy behavior from default-deny to default-allow, significantly weakening network traffic filtering.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:UpdateProxyRuleGroupPriorities</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to modify rule group priorities on a proxy configuration</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows reordering rule groups so broad allow rules are evaluated first, enabling traffic to bypass filtering and permitting otherwise blocked connections.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:CreateProxyRules</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to add proxy rules to a proxy rule group</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows inserting explicit allow or deny rules ahead of existing filters, potentially preempting protections and permitting unauthorized traffic.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:DetachRuleGroupsFromProxyConfiguration</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to detach proxy rule group from a proxy configuration</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows removal of rule groups designed to filter malicious or unauthorized traffic, weakening proxy-based network protections.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:DeleteProxy</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to delete a proxy</li> <li><strong>Mitre Tactic:</strong> Impact</li> <li><strong>Why it’s privileged: </strong>Allows deletion of a network proxy, disrupting connectivity for resources that rely on it and causing traffic to fail.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:UpdateProxyRulePriorities</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update proxy rule priorities within a proxy rule group</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows reordering proxy rules so broad allow rules are evaluated first, enabling traffic to bypass existing filtering controls.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:DeleteProxyRules</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to remove proxy rules from a proxy rule group</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows removal of proxy rules designed to filter malicious or unauthorized traffic, weakening network security controls.</li> </ul><h4 class="wp-block-heading">Permission: network-firewall:UpdateProxy</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to modify a proxy</li> <li><strong>Mitre Tactic:</strong> Impact</li> <li><strong>Why it’s privileged: </strong>Allows removing or altering proxy listeners, causing network traffic to fail and preventing clients from establishing connections.</li> </ul><h3 class="wp-block-heading">Amazon EC2</h3><p><strong>Service Type: Compute Services</strong></p><h4 class="wp-block-heading">Permission: ec2:ModifyVpcEncryptionControl</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to modify an existing VPC Encryption Control</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows weakening or disabling enforcement of VPC traffic encryption by switching controls to monitor mode, reducing protection of network traffic and potentially disrupting encryption guarantees.</li> </ul><h4 class="wp-block-heading">Permission: ec2:ModifyIpamPrefixListResolver</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to modify an IPAM prefix list resolver</li> <li><strong>Mitre Tactic:</strong> Lateral Movement</li> <li><strong>Why it’s privileged: </strong>Allows expanding the CIDR ranges resolved by a prefix list, potentially broadening network access to sensitive resources protected by security group rules.</li> </ul><h4 class="wp-block-heading">Permission: ec2:DeleteVpcEncryptionControl</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to delete a VPC Encryption Control</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Removes controls that enforce VPC traffic encryption, eliminating safeguards that protect network traffic confidentiality.</li> </ul><h4 class="wp-block-heading">Permission: ec2:CreateIpamPrefixListResolverTarget</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to create an IPAM prefix list resolver target that links a resolver to a managed prefix list</li> <li><strong>Mitre Tactic:</strong> Lateral Movement</li> <li><strong>Why it’s privileged: </strong>Allows forcing a prefix list to sync with an empty or permissive resolver, effectively wiping enforced network restrictions and expanding communication between resources or VPCs.</li> </ul><h3 class="wp-block-heading">AWS CloudWatch Logs</h3><p><strong>Service Type: Observability and Monitoring</strong></p><h4 class="wp-block-heading">Permission: logs:CreateImportTask</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to start an asynchronous process to import data from a CloudTrail Lake event data store into a managed log group in CloudWatch </li> <li><strong>Mitre Tactic:</strong> Collection</li> <li><strong>Why it’s privileged: </strong>Allows importing CloudTrail data into CloudWatch using a passed role, enabling collection of log data that the caller may not otherwise have direct access to.</li> </ul><h3 class="wp-block-heading">Amazon API Gateway</h3><p><strong>Service Type: Compute Services</strong></p><h4 class="wp-block-heading">Permission: apigateway:UpdatePortal</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update a portal</li> <li><strong>Mitre Tactic:</strong> Persistence</li> <li><strong>Why it’s privileged: </strong>Allows disabling authorization controls on the portal, exposing internal API documentation to the public and enabling persistent unauthorized access.</li> </ul><h4 class="wp-block-heading">Permission: apigateway:PutPortalProductSharingPolicy</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to put a portal product sharing policy</li> <li><strong>Mitre Tactic:</strong> Persistence</li> <li><strong>Why it’s privileged: </strong>Allows making an API Gateway portal accessible from another AWS account, enabling persistent external access to potentially internal API documentation.</li> </ul><h3 class="wp-block-heading">Amazon Connect</h3><p><strong>Service Type: Customer Engagement</strong></p><h4 class="wp-block-heading">Permission: connect:DisassociateEmailAddressAlias</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to disassociate an alias from an email address resource in an Amazon Connect instance</li> <li><strong>Mitre Tactic:</strong> Impact</li> <li><strong>Why it’s privileged: </strong>Allows removal of email address aliases used for routing or identification, disrupting email-based contact handling and potentially impacting business communications or workflows.</li> </ul><h4 class="wp-block-heading">Permission: connect:AssociateEmailAddressAlias</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to associate an alias with an email address resource in an Amazon Connect instance</li> <li><strong>Mitre Tactic:</strong> Exfiltration</li> <li><strong>Why it’s privileged: </strong>Allows routing or duplicating email communications through additional aliases, potentially enabling interception or unauthorized exposure of sensitive customer messages.</li> </ul><h3 class="wp-block-heading">Amazon CloudFront</h3><p><strong>Service Type: Networking and Content Delivery</strong></p><h4 class="wp-block-heading">Permission: cloudfront:DeleteResourcePolicy</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to delete a resource’s policy document</li> <li><strong>Mitre Tactic:</strong> Impact</li> <li><strong>Why it’s privileged: </strong>Allows removal of resource-based access controls for CloudFront resources, causing severe disruption to content delivery and access enforcement.</li> </ul><h4 class="wp-block-heading">Permission: cloudfront:PutResourcePolicy</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update or create a resource’s policy document</li> <li><strong>Mitre Tactic:</strong> Persistence</li> <li><strong>Why it’s privileged: </strong>Allows adding or modifying resource-based policies to grant or maintain access to CloudFront resources, enabling persistent control over content delivery access.</li> </ul><h3 class="wp-block-heading">Amazon Bedrock</h3><p><strong>Service Type: Artificial Intelligence &amp; Machine Learning</strong></p><h4 class="wp-block-heading">Permission: bedrock:PutEnforcedGuardrailConfiguration</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to set account-level enforced guardrail configuration</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows replacing or weakening enforced account-level guardrails, enabling models or agents to bypass safety and policy controls.</li> </ul><h4 class="wp-block-heading">Permission: bedrock:DeleteEnforcedGuardrailConfiguration</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to delete account-level enforced guardrail configuration</li> <li><strong>Mitre Tactic:</strong> Impact</li> <li><strong>Why it’s privileged: </strong>Allows removal of enforced guardrails across the account, eliminating safety and policy controls and potentially disrupting or exposing downstream AI workloads.</li> </ul><h3 class="wp-block-heading">AWS Network Manager</h3><p><strong>Service Type: Networking and Content Delivery</strong></p><h4 class="wp-block-heading">Permission: networkmanager:PutAttachmentRoutingPolicyLabel</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to put an attachment routing policy label</li> <li><strong>Mitre Tactic:</strong> Lateral Movement</li> <li><strong>Why it’s privileged: </strong>Allows associating routing policies that enable broader prefix propagation, granting compromised attachments access to network segments or prefixes that were previously unreachable.</li> </ul><h4 class="wp-block-heading">Permission: networkmanager:RemoveAttachmentRoutingPolicyLabel</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to remove an attachment </li> <li><strong>Mitre Tactic:</strong> Lateral Movement</li> <li><strong>Why it’s privileged: </strong>Allows removal of labels that enforce strict routing policies, potentially eliminating network segmentation controls and enabling movement between previously isolated environments.</li> </ul><h3 class="wp-block-heading">AWS Launch Wizard</h3><p><strong>Service Type: Infrastructure Management</strong></p><h4 class="wp-block-heading">Permission: launchwizard:UpdateDeployment</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update a deployment</li> <li><strong>Mitre Tactic:</strong> Credential Access</li> <li><strong>Why it’s privileged: </strong>Allows modifying deployment parameters to change credentials for underlying application databases, enabling unauthorized credential access or takeover.</li> </ul><h2 class="wp-block-heading">New Services with Privileged Permissions</h2><h3 class="wp-block-heading">AWS Route 53 Global Resolver</h3><p><strong>Service Type: Networking and Content Delivery</strong></p><h4 class="wp-block-heading">Permission: route53globalresolver:BatchCreateFirewallRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to create multiple firewall rules</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows creation of high-priority allow rules that can bypass existing DNS filtering and evade network-based controls.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:BatchDeleteFirewallRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to delete multiple firewall rules</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows removal of DNS firewall rules, disabling DNS-based filtering and reducing network-level visibility and protection.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:BatchUpdateFirewallRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update multiple firewall rules</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows modifying deny rules into allow rules, permitting DNS traffic that would otherwise be filtered or blocked.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:CreateAccessSource</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to create an access source</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows remapping CIDR ranges between DNS views with different firewall policies, enabling DNS queries from the CIDR range to bypass stricter filtering rules.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:CreateFirewallRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to create a firewall rule</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows creation of high-priority allow rules that can bypass existing DNS filtering and evade network-based controls.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:DeleteFirewallRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to delete a firewall rule</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows removal of DNS firewall rules, disabling DNS-based filtering and reducing network-level protection.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:ImportFirewallDomains</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to import firewall domains from an S3 bucket</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows tampering with domain lists used by firewall rules, potentially permitting DNS traffic that would otherwise be filtered or blocked.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:UpdateAccessSource</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update an access source</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows remapping CIDR ranges between DNS views with different firewall policies, enabling DNS queries to bypass stricter filtering rules.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:UpdateDNSView</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update a dns view</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows disabling or weakening security settings such as DNSSEC validation, enabling tampering with DNS responses and bypassing DNS integrity protections.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:UpdateFirewallDomains</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update firewall domains</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows modification of domain lists used by DNS firewall rules, potentially permitting DNS traffic that would otherwise be blocked or filtered.</li> </ul><h4 class="wp-block-heading">Permission: route53globalresolver:UpdateFirewallRule</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to update a firewall rule</li> <li><strong>Mitre Tactic:</strong> Defense Evasion</li> <li><strong>Why it’s privileged: </strong>Allows changing deny rules into allow rules, permitting DNS traffic that would otherwise be filtered or blocked.</li> </ul><h3 class="wp-block-heading">AWS MCP Server</h3><p><strong>Service Type: Artificial Intelligence and Machine Learning</strong></p><h4 class="wp-block-heading">Permission: aws-mcp:CallReadWriteTool</h4><ul class="wp-block-list"> <li><strong>Action:</strong> Grants permission to call AWS read and write APIs in MCP service</li> <li><strong>Mitre Tactic:</strong> Impact</li> <li><strong>Why it’s privileged: </strong>Allows invoking AWS APIs via the MCP server, enabling unintended or malicious execution of AWS actions if the tool is triggered without explicit user intent.</li> </ul><h3 class="wp-block-heading">AWS PricingPlanManager Service</h3><p><strong>Service Type: Subscription Management</strong></p><p><em>No privileged permissions</em></p><h3 class="wp-block-heading">AWS Compute Optimizer</h3><p><strong>Service Type: Compute Services</strong></p><p><em>No privileged permissions</em></p><h3 class="wp-block-heading">Amazon Nova Act</h3><p><strong>Service Type: Artificial Intelligence &amp; Machine Learning</strong></p><p><em>No privileged permissions</em></p><h3 class="wp-block-heading">AWS ECS MCP Server</h3><p><strong>Service Type: Artificial Intelligence &amp; Machine Learning</strong></p><p><em>No privileged permissions</em></p><h2 class="wp-block-heading">Conclusion</h2><p>As AWS continues to evolve its networking, traffic management, and collaboration services, new privileged permissions are increasingly defining how data flows, access is enforced, and environments are segmented in the cloud. This month’s additions demonstrate how changes to routing policies, firewall rules, encryption controls, and shared resources can quietly expand privilege, weaken isolation, or expose sensitive systems without modifying traditional administrator roles. Even small configuration changes can have an outsized impact on network trust boundaries and lateral movement risk.</p><p>Sonrai Security’s Cloud Permissions Firewall helps organizations stay ahead of these shifts by continuously identifying emerging privileged permissions, mapping them to MITRE ATT&amp;CK tactics, and enforcing least privilege across cloud control planes. In a cloud environment where network and configuration-level privileges continue to expand each month, maintaining continuous visibility and proactive control is critical to preventing overlooked permissions from becoming attack paths.</p><figure class="wp-block-image size-full"><a href="https://sonraisecurity.com/cloud-security-platform/cloud-permissions-firewall/"><img fetchpriority="high" decoding="async" width="1584" height="365" src="https://sonraisecurity.com/wp-content/uploads/image-6.png" alt="" class="wp-image-39421"></a></figure><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/jan-recap-new-aws-privileged-permissions-and-services/" data-a2a-title="Jan Recap: New AWS Privileged Permissions and Services"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjan-recap-new-aws-privileged-permissions-and-services%2F&amp;linkname=Jan%20Recap%3A%20New%20AWS%20Privileged%20Permissions%20and%20Services" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjan-recap-new-aws-privileged-permissions-and-services%2F&amp;linkname=Jan%20Recap%3A%20New%20AWS%20Privileged%20Permissions%20and%20Services" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjan-recap-new-aws-privileged-permissions-and-services%2F&amp;linkname=Jan%20Recap%3A%20New%20AWS%20Privileged%20Permissions%20and%20Services" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjan-recap-new-aws-privileged-permissions-and-services%2F&amp;linkname=Jan%20Recap%3A%20New%20AWS%20Privileged%20Permissions%20and%20Services" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjan-recap-new-aws-privileged-permissions-and-services%2F&amp;linkname=Jan%20Recap%3A%20New%20AWS%20Privileged%20Permissions%20and%20Services" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://sonraisecurity.com/">Sonrai | Enterprise Cloud Security Platform</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Adeel Nazar">Adeel Nazar</a>. Read the original post at: <a href="https://sonraisecurity.com/blog/jan-recap-new-aws-privileged-permissions-and-services/">https://sonraisecurity.com/blog/jan-recap-new-aws-privileged-permissions-and-services/</a> </p>

<p>JFrog security researchers have discovered <a href="https://research.jfrog.com/post/achieving-remote-code-execution-on-n8n-via-sandbox-escape/">a pair of critical vulnerabilities</a> in a workflow automation platform from n8n that makes use of large language models (LLMs) to execute tasks.</p><p>A CVE-2026-1470 vulnerability, rated 9.9, enables a malicious actor to remotely execute JavaScript code by manipulating a Statement capability in the n8n platform that is used to sanitize business logic.</p><p>The CVE-2026-0863 vulnerability, rated 8.5, similarly abuses the logic sanitize tool provided by n8n to enable remote execution using Python code.</p><p>Designed to be deployed in on-premises IT environments or accessed via a cloud service provided by n8n, both issues can be resolved by upgrading to one of the later editions of the n8n platform.</p><p>Used frequently by internal IT and cybersecurity teams to automate tasks, it’s not clear how many vulnerable instances of the n8n platform have been deployed, but this issue is the latest in a series that highlight the risk associated with deploying artificial intelligence (AI) platforms, especially if they enable remote code execution.</p><p>Shachar Menashe, vice president of security research for JFrog, said that in the rush to deploy powerful emerging AI technology organizations need to have a better understanding of the potential risks. That doesn’t mean that organizations should not adopt AI, but rather they need to understand the potential cybersecurity implications, he added.</p><p>In the case of these two vulnerabilities, they have both been rated high because they are relatively trivial to exploit, noted Menashe.</p><p>In general, the discovery of new vulnerabilities is becoming much more problematic in the age of AI. It’s become much simpler for cybercriminals to discover a vulnerability and reverse engineer an exploit using AI coding tools. Cybersecurity teams now need to assume that the time between when a vulnerability is disclosed and an exploit has been created can now be measured in days, if not hours.</p><p>Historically, only a small percentage of known vulnerabilities are actually exploited, but in the age of AI, it’s probable that percentage will soon significantly increase. As a result, cybersecurity teams are likely to soon find themselves even more challenged in the coming year.</p><p>Each organization will, as a consequence, need to make sure it is running the latest and most secure version of an application. Many of them will also need to revisit the degree to which they are comfortable with automatically applying patches. Many organizations tend to prefer to test a patch before upgrading software to ensure their application doesn’t break. However, as the overall level of risk a cyberattack represents to the business continues to increase, there are more classes of patches that should be automatically applied. The risk that a potential cyberattack creates is simply larger than the cost of the potential downtime that might result from the patch being applied. Hopefully, AI tools will also soon make it easier to discover and remediate vulnerabilities before they are exploited.</p><p>In the meantime, cybersecurity teams should, as always, continue to hope for the best while being ready for the worst.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/jfrog-researchers-surface-vulnerabilities-in-ai-automation-platform-from-n8n/" data-a2a-title="JFrog Researchers Surface Vulnerabilities in AI Automation Platform from n8n"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjfrog-researchers-surface-vulnerabilities-in-ai-automation-platform-from-n8n%2F&amp;linkname=JFrog%20Researchers%20Surface%20Vulnerabilities%20in%20AI%20Automation%20Platform%20from%20n8n" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjfrog-researchers-surface-vulnerabilities-in-ai-automation-platform-from-n8n%2F&amp;linkname=JFrog%20Researchers%20Surface%20Vulnerabilities%20in%20AI%20Automation%20Platform%20from%20n8n" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjfrog-researchers-surface-vulnerabilities-in-ai-automation-platform-from-n8n%2F&amp;linkname=JFrog%20Researchers%20Surface%20Vulnerabilities%20in%20AI%20Automation%20Platform%20from%20n8n" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjfrog-researchers-surface-vulnerabilities-in-ai-automation-platform-from-n8n%2F&amp;linkname=JFrog%20Researchers%20Surface%20Vulnerabilities%20in%20AI%20Automation%20Platform%20from%20n8n" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fjfrog-researchers-surface-vulnerabilities-in-ai-automation-platform-from-n8n%2F&amp;linkname=JFrog%20Researchers%20Surface%20Vulnerabilities%20in%20AI%20Automation%20Platform%20from%20n8n" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

A social network has emerged for AI bots to compare notes, and its stirring fears of a future thats straight out of science fiction.It started when Austrian developer Peter Steinberger created Moltbo… [+2723 chars]

REDWOOD CITY, Calif., Feb. 02, 2026 (GLOBE NEWSWIRE) -- The Secure Technology Alliance today unveils the full agenda for the 2026 Identity &amp; Payments Summit. The Summit is the premier event of it… [+6235 chars]

<h2>Why Are Machine Identities Essential for Data Security in the Cloud?</h2><p>Where cloud environments have become the backbone of modern enterprises, securing data requires more than just human oversight. Where organizations migrate more services to the cloud, they face a growing need to address security gaps that often arise from Non-Human Identities (NHIs). These machine identities, which act in concert with encrypted secrets like passwords and cryptographic keys, must be carefully managed to maintain robust data security.</p><h3>The Role of NHIs in Modern Cybersecurity</h3><p>Non-Human Identities, or NHIs, are pivotal in secure cloud operations. They represent the “digital tourists” that navigate through various network environments, accessing resources as granted by their “visas” or permissions. These identities are increasingly utilized by DevOps and Security Operations Center (SOC) teams to automate processes and enhance the efficiency of operations across various fields such as financial services, healthcare, and travel.</p><p>These machine identities are far from simplistic; they embody complex operations that demand intricate management and continuous oversight. The core challenge here is to bridge the gap between security protocols and research and development (R&amp;D) teams. This disconnect can be effectively managed through the implementation of a holistic NHI management strategy.</p><h3>Holistic NHI Management: A Comprehensive Approach</h3><p>Effective NHI management requires a comprehensive approach that encompasses the entire lifecycle of machine identities and their secrets. This includes discovery, classification, threat detection, and remediation of vulnerabilities. Unlike point solutions, which may only target specific issues like secret scanning, holistic NHI management platforms provide a bird’s-eye view of the entire. This allows security professionals to gain insights into ownership, permissions, usage patterns, and potential vulnerabilities.</p><ul> <li><strong>Reduced Risk:</strong> By proactively identifying potential threats, NHI management helps reduce the likelihood of breaches and data leaks.</li> <li><strong>Improved Compliance:</strong> Organizations can ensure compliance with regulatory requirements through stringent policy enforcement and maintaining audit trails.</li> <li><strong>Increased Efficiency:</strong> Automating the management of NHIs and secrets allows security teams to focus on more strategic initiatives, saving valuable time and resources.</li> <li><strong>Enhanced Visibility and Control:</strong> Centralized management offers improved access governance, enabling organizations to maintain a robust security posture.</li> <li><strong>Cost Savings:</strong> By automating processes like secret rotation and NHIs decommissioning, operational costs are significantly reduced.</li> </ul><h3>The Strategic Importance of NHI Management in Cloud Environments</h3><p>With the growing emphasis on cloud computing, organizations must pay close attention to how NHIs are handled, especially in hybrid cloud environments. Companies can significantly decrease the risk of security breaches by incorporating NHI management into their cybersecurity strategy. It is crucial for organizations to adopt a data-driven mindset to remain competitive and secure.</p><p>Agentic AI plays a critical role in empowering these processes. By providing <a href="https://www.techascensionawards.com/post/tech-ascension-awards-announces-the-2025-big-data-award-winners" rel="noopener">empowered data handling</a> solutions, AI can guide organizations in creating safe and efficient cloud environments. The integration of AI with NHI management systems allows for dynamic adaptation to threats, continuously learning and updating protocols to minimize vulnerabilities.</p><h3>Building a Secure Future with AI and NHI Management</h3><p>The future of secure cloud environments lies in the effective management and automation of NHIs and their secrets. Organizations must embrace innovative technologies like <a href="https://edmcouncil.org/webinar/ai-needs-data-products-and-data-products-need-ai/" rel="noopener">Agentic AI</a> to fuel their data-centric operations. This calls for a paradigm shift toward integrating AI-driven insights directly into the fabric of NHI management.</p><p>Many organizations have already begun to realize the benefits of a robust NHI management strategy. For instance, businesses that have embraced <a href="https://entro.security/blog/entro-wiz-integration/">integration</a> solutions report increased agility and reduced security overhead, directly impacting their bottom line. Similarly, <a href="https://entro.security/blog/how-elastic-scaled-secrets-nhi-security-elastics-playbook-from-visibility-to-automation/">scaling NHIs</a> successfully has become a pivotal factor in leveraging cloud capabilities for strategic growth.</p><p>In conclusion, the synergy between AI and secure NHI management is crucial for robust data protection. Organizations need to foster a culture of security that prioritizes empowered data handling at every level. By doing so, they can ensure that their cloud environments remain secure and resilient, ready to face the challenges of tomorrow.</p><h3>Analyzing the Disconnect Between Security and R&amp;D Teams</h3><p>Have you ever wondered why, despite investing heavily in cybersecurity measures, there still exist significant security gaps in cloud environments? A considerable part of this conundrum can be traced back to the disconnect between security teams and R&amp;D departments. Research and Development teams, often driven by the urgency of innovation, might overlook certain security protocols, inadvertently creating vulnerabilities. On the other hand, cybersecurity teams may not fully grasp the agile methodologies that drive R&amp;D, leading to a misalignment in goals and execution.</p><p>Bridging this gap hinges on cultivating communication and collaboration frameworks that are conducive to both security rigor and innovation. Organizations need to establish channels that facilitate a mutual understanding of each team’s priorities and objectives. Integrating security practices seamlessly into the R&amp;D lifecycle—from the inception of an idea to its development and deployment—can substantially mitigate risks linked to NHIs.</p><h3>Understanding Operational Complexities and Their Impact</h3><p>The operational complexity of managing NHIs cannot be understated. These machine identities are multifaceted, acting as the critical link between various components of a cloud architecture. Each machine identity carries with it a series of permissions and access rights, analogous to how a human identity carries certain privileges.</p><p>Operational complexity increases with the growth of an organization’s digital footprint. With more NHIs are spawned across multiple cloud environments, maintaining a coherent and secure structure becomes increasingly challenging. Here, automation emerges as a solution, aiding in not only the management of current NHIs but also in preemptively identifying potential vulnerabilities.</p><p>A successful NHI management strategy requires organizations to embrace tools that offer real-time analytics and visibility. This enables nimble responses to evolving threats, ensuring that machine identities remain boundaries of prescribed permissions.</p><h3>Leveraging Data Analytics for Proactive Security</h3><p>Data analytics becomes indispensable for robust security management. By leveraging advanced data analytics, organizations can make informed decisions about the security posture of their NHIs. These analytics provide insights into machine identity lifecycles, highlighting areas prone to vulnerability and areas where security measures have proven effective.</p><p>Machine learning algorithms are increasingly employed to analyze patterns and detect anomalies in NHI behaviors. By employing these tools, it becomes possible to identify suspicious activities that could indicate a breach attempt, such as abnormal access requests or atypical behavior patterns. This proactive approach to security not only safeguards the organization’s data but also acts as a deterrent to potential attackers.</p><h3>The Cross-Industry Relevance of NHI Management</h3><p>Identifying the importance of NHI management extends beyond cybersecurity and finds relevance across various sectors. In financial services, for example, the confidentiality and integrity of customer data can’t be compromised. NHIs must be meticulously managed to prevent unauthorized access and ensure compliance with strict regulatory standards.</p><p>Similarly, in healthcare, where the sanctity of patient data is paramount, NHIs play a critical role in safeguarding sensitive information against breaches. The emphasis is on maintaining a secure environment where NHIs can execute their functions while ensuring they do not become vectors for vulnerabilities.</p><p>Furthermore, the travel and hospitality sectors, reliant on seamless experiences for their consumers, leverage NHIs to efficiently manage their online services. Ensuring that these machine identities are secure translates directly into customer trust and satisfaction.</p><h3>Creating a Unified Security Framework with NHIs</h3><p>Creating a unified security framework that encompasses machine identities and their secrets management is essential. Organizations must devise strategies that integrate NHI management with broader security measures, thereby creating an interconnected security. This not only shields sensitive data but also fosters a culture of security awareness at every level.</p><p>Projecting this as a continuous cycle, where NHIs are constantly scrutinized, allows organizations to foresee and address threats before they can inflict damage. Security measures must evolve to handle the dynamic nature of threats, making it crucial that they are adaptable and forward-thinking.</p><h3>Perspectives on Elevating Cloud Security with NHIs</h3><p>With cybersecurity experts continue to explore new pathways for fortifying cloud environments, it becomes evident that NHI management is foundational to data security. By embracing both technological advancements and collaborative frameworks, organizations can forge robust security protocols that not only protect but also enhance their operations.</p><p>A strategic focus on NHI management and the adoption of data-driven insights can yield transformative results. By continually refining these approaches, businesses stand to gain considerably from reduced risks, significant compliance strength, and operational efficiency.</p><p>For more insights on managing secrets and expanding machine identity security, visit our <a href="https://entro.security/blog/entro-custom-secrets-self-serve-detection-rules-across-code-cloud-and-agents/">detailed post here</a>. For a deeper look into maintaining stride in security, explore our <a href="https://entro.security/blog/keeping-security-in-stride-why-we-built-entros-third-pillar-for-agentic-ai/">comprehensive guide</a>. Additionally, to understand how AI is shaping cloud security, check out our <a href="https://entro.security/blog/agentic-ai-owasp-research/">research overview</a>.</p><p>For additional perspectives on leveraging AI and ensuring cloud security, you might find value in these <a href="https://sema4.ai/newsroom/unveils-latest-platform-capabilities-for-data-and-document-workflows/" rel="noopener">platform capabilities</a> and insights on <a href="https://www.vastdata.com/industry/telecommunications" rel="noopener">industry applications</a> as well.</p><p>The post <a href="https://entro.security/how-to-ensure-empowered-data-handling-with-agentic-ai/">How to ensure empowered data handling with Agentic AI</a> appeared first on <a href="https://entro.security/">Entro</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/how-to-ensure-empowered-data-handling-with-agentic-ai/" data-a2a-title="How to ensure empowered data handling with Agentic AI"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fhow-to-ensure-empowered-data-handling-with-agentic-ai%2F&amp;linkname=How%20to%20ensure%20empowered%20data%20handling%20with%20Agentic%20AI" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fhow-to-ensure-empowered-data-handling-with-agentic-ai%2F&amp;linkname=How%20to%20ensure%20empowered%20data%20handling%20with%20Agentic%20AI" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fhow-to-ensure-empowered-data-handling-with-agentic-ai%2F&amp;linkname=How%20to%20ensure%20empowered%20data%20handling%20with%20Agentic%20AI" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fhow-to-ensure-empowered-data-handling-with-agentic-ai%2F&amp;linkname=How%20to%20ensure%20empowered%20data%20handling%20with%20Agentic%20AI" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fhow-to-ensure-empowered-data-handling-with-agentic-ai%2F&amp;linkname=How%20to%20ensure%20empowered%20data%20handling%20with%20Agentic%20AI" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://entro.security/">Entro</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Alison Mack">Alison Mack</a>. Read the original post at: <a href="https://entro.security/how-to-ensure-empowered-data-handling-with-agentic-ai/">https://entro.security/how-to-ensure-empowered-data-handling-with-agentic-ai/</a> </p>

<p>Exposure monitoring has become a core function for security and risk teams but many programs still struggle to deliver clear, actionable outcomes. Alerts pile up, dashboards expand, and yet teams are often left with the same unanswered question:</p><h2 class="wp-block-heading"><strong>Which exposures actually matter right now?</strong></h2><p>The difference between noise and signal in exposure monitoring often comes down to one factor: <strong>data verification</strong>. Without verified breach data, exposure monitoring becomes an exercise in volume rather than risk prioritization.</p><p>This post breaks down what verified breach data actually changes about exposure monitoring and why it’s becoming foundational for threat intelligence teams, SOCs, and risk leaders.</p><h2 class="wp-block-heading"><strong>The Current State of Exposure Monitoring</strong></h2><p>Most exposure monitoring programs rely on a mix of sources:</p><ul class="wp-block-list"> <li>Credential dumps scraped from public or semi-public forums</li> <li>Dark web monitoring feeds</li> <li>Open-source breach repositories</li> <li>Third-party aggregators with limited validation transparency</li> </ul><p>While these sources can surface large quantities of data, <strong>quantity alone does not equal exposure intelligence</strong>.</p><p>In practice, teams often face:</p><ul class="wp-block-list"> <li>Duplicate credentials resurfacing years after an initial breach</li> <li>Fabricated or “salted” data designed to look real</li> <li>Partial records with no attribution context</li> <li>Alerts that cannot be confidently tied to a real person, customer, or employee</li> </ul><p>This creates a familiar operational problem: analysts spend significant time validating alerts before any remediation can begin.</p><h2 class="wp-block-heading"><strong>Why Unverified Breach Data Creates Risk Blind Spots</strong></h2><p>Unverified breach data doesn’t just waste time, it actively distorts exposure visibility.</p><p>When breach data is not validated:</p><ul class="wp-block-list"> <li><strong>False positives increase</strong>, overwhelming triage workflows</li> <li><strong>True exposure competes with noise</strong>, delaying response</li> <li><strong>Trust in monitoring systems erodes</strong>, leading teams to ignore alerts altogether</li> </ul><p><strong>Unverified breach data reduces confidence in exposure monitoring outcomes.</strong></p><p>This lack of confidence impacts downstream decisions—from password resets and account monitoring to executive briefings and board-level reporting.</p><h2 class="wp-block-heading"><strong>What Is Verified Breach Data?</strong></h2><p>Verified breach data is not defined by where it appears—it’s defined by <strong>how it’s validated</strong>.</p><p>At a high level, verified breach data includes:</p><ul class="wp-block-list"> <li>Confirmation that a breach event actually occurred</li> <li>Validation of the source and timeframe of the exposure</li> <li>Normalization and de-duplication across datasets</li> <li>Attribution confidence that links exposed data to real entities</li> </ul><p>In other words, verified breach data answers not just <em>what</em> was exposed, but:</p><ul class="wp-block-list"> <li><strong>When</strong> it was exposed</li> <li><strong>Where</strong> it originated</li> <li><strong>Who</strong> is actually impacted</li> </ul><p>Constella’s approach to <a href="https://constella.ai/threat-intelligence-data-signals-api/">verified breach intelligence</a> is designed to support this level of confidence and transparency across exposure workflows.</p><h2 class="wp-block-heading"><strong>How Verified Breach Data Changes Exposure Monitoring Outcomes</strong></h2><p><strong>1. Exposure Monitoring Becomes Prioritized, Not Reactive</strong></p><p>With verified breach data, alerts can be ranked by:</p><ul class="wp-block-list"> <li>Recency of exposure</li> <li>Confidence of attribution</li> <li>Sensitivity of exposed data (PII, credentials, tokens)</li> </ul><p>This allows teams to shift from reactive alert handling to <strong>risk-based prioritization</strong>, focusing first on exposures that pose real operational or fraud risk.</p><p><strong>2. Analysts Spend Less Time Validating, More Time Acting</strong></p><p>One of the most immediate operational benefits is reduced manual validation.</p><p>Instead of asking:</p><ul class="wp-block-list"> <li>“Is this breach real?”</li> <li>“Is this data recycled?”</li> <li>“Does this identity actually exist?”</li> </ul><p>Analysts can move directly into remediation workflows:</p><ul class="wp-block-list"> <li>Credential resets</li> <li>Account monitoring</li> <li>Identity risk scoring enrichment</li> </ul><p>This is especially valuable for SOCs and threat intelligence teams operating under alert fatigue.</p><p><strong>3. Exposure Intelligence Gains Identity Context</strong></p><p>Exposure monitoring without identity context only tells part of the story.</p><p>Verified breach data, when fused with identity intelligence, allows teams to understand:</p><ul class="wp-block-list"> <li>Whether exposed data maps to customers, employees, or executives</li> <li>How exposed identifiers connect across aliases, emails, and usernames</li> <li>Whether multiple exposures point to the same underlying entity</li> </ul><p>This is where exposure monitoring intersects directly with <a href="https://constella.ai/threat-intelligence-data-signals-api/"><strong>identity risk intelligence</strong></a><strong>.</strong></p><h2 class="wp-block-heading"><strong>Why Verified Breach Data Matters for Threat Intelligence Teams</strong></h2><p>Threat intelligence teams are increasingly expected to deliver <strong>actionable intelligence</strong>, not just feeds.</p><p>Verified breach data supports this shift by enabling:</p><ul class="wp-block-list"> <li>Cleaner enrichment of alerts and investigations</li> <li>Stronger attribution confidence in reporting</li> <li>Better alignment between intel findings and operational response</li> </ul><p>Instead of pushing raw breach alerts downstream, teams can provide <strong>curated, confidence-weighted exposure insights</strong> that other teams trust.</p><h2 class="wp-block-heading"><strong>Where Exposure Monitoring Breaks Without Verification</strong></h2><p>Without verified breach data, exposure monitoring programs often stall at the same point:</p><ul class="wp-block-list"> <li>Alerts are generated</li> <li>Dashboards update</li> <li>But decisive action is delayed</li> </ul><p>This is not a tooling failure—it’s a <strong>data trust problem</strong>.</p><p>Verification restores that trust by giving teams confidence that:</p><ul class="wp-block-list"> <li>Alerts are real</li> <li>Identities are accurate</li> <li>Decisions are defensible</li> </ul><h2 class="wp-block-heading"><strong>Moving from Exposure Visibility to Exposure Intelligence</strong></h2><p>Exposure monitoring is evolving. The goal is no longer visibility alone. It’s <strong>clarity</strong>.</p><p>Verified breach data enables that clarity by:</p><ul class="wp-block-list"> <li>Reducing noise</li> <li>Improving prioritization</li> <li>Anchoring exposure insights to real identities</li> </ul><p>For organizations looking to mature their threat intelligence and exposure monitoring capabilities, verification is no longer optional, it’s foundational.</p><p>Learn how Constella delivers <a href="https://constella.ai/threat-intelligence-data-signals-api/">verified breach intelligence</a> designed for operational confidence.</p><h2 class="wp-block-heading"><strong>Frequently Asked Questions About Verified Breach Data</strong></h2><p><strong>What is verified breach data?</strong></p><p>Verified breach data is breach intelligence that has been validated to confirm the breach event occurred, the data originated from a credible source, and the exposed information can be confidently attributed to real identities. Unlike scraped or recycled breach dumps, verified breach data includes contextual signals such as timing, source reliability, and attribution confidence.</p><p><strong>How is verified breach data different from dark web monitoring?</strong></p><p>Dark web monitoring focuses on where data appears. Verified breach data focuses on whether the data is real, recent, and relevant. Many dark web feeds surface unverified or recycled data, while verified breach intelligence emphasizes validation, de-duplication, and confidence scoring before alerts reach analysts.</p><p><strong>Why does exposure monitoring generate so many false positives?</strong></p><p>False positives occur when exposure monitoring relies on unverified breach feeds, partial datasets, or shallow matching logic. Without verification and identity context, alerts may reference fabricated credentials, outdated breaches, or identities that cannot be confidently resolved—forcing analysts to manually validate each alert.</p><p><strong>How does verified breach data reduce alert fatigue?</strong></p><p>By validating breach sources and confirming attribution, verified breach data reduces duplicate alerts, eliminates fabricated datasets, and prioritizes confirmed exposure. This allows security and threat intelligence teams to focus on high-confidence risks instead of triaging noise.</p><p><strong>Who benefits most from verified breach data?</strong></p><p>Verified breach data is most valuable for:</p><ul class="wp-block-list"> <li>Threat intelligence teams responsible for exposure monitoring</li> <li>SOC teams managing alert enrichment and triage</li> <li>Fraud and identity teams assessing downstream risk</li> <li>Security leaders who need defensible exposure reporting</li> </ul><p>These teams rely on confidence, not volume, to make decisions.</p><p><strong>Does verified breach data improve identity risk scoring?</strong></p><p>Yes. Identity risk scoring depends on accurate attribution. Verified breach data strengthens identity risk scores by ensuring exposed credentials or PII are linked to real entities with known confidence levels, improving both prioritization and explainability.</p><p><strong>Can verified breach data help with compliance and reporting?</strong></p><p>Verified breach data supports compliance and reporting by providing defensible evidence of exposure, clearer timelines, and validated sources. This is especially important when communicating exposure risk to executives, auditors, or regulators.</p><p><strong>Is more breach data better for exposure monitoring?</strong></p><p>No. More data without verification increases noise and slows response. Effective exposure monitoring prioritizes quality, confidence, and context over sheer volume. Verified breach data enables faster, more accurate risk decisions.</p><p><strong>How does Constella verify breach data?</strong></p><p>Constella combines source validation, continuous curation, de-duplication, and identity intelligence to deliver breach data that teams can trust. Verification is embedded into the intelligence pipeline, not added as an afterthought.</p><p><strong>What is the first step to improving exposure monitoring accuracy?</strong></p><p>The first step is evaluating the quality and verification of your breach data sources. If teams spend more time validating alerts than acting on them, verification gaps are likely limiting the effectiveness of exposure monitoring.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/what-verified-breach-data-changes-about-exposure-monitoring/" data-a2a-title="What Verified Breach Data Changes About Exposure Monitoring"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhat-verified-breach-data-changes-about-exposure-monitoring%2F&amp;linkname=What%20Verified%20Breach%20Data%20Changes%20About%20Exposure%20Monitoring" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhat-verified-breach-data-changes-about-exposure-monitoring%2F&amp;linkname=What%20Verified%20Breach%20Data%20Changes%20About%20Exposure%20Monitoring" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhat-verified-breach-data-changes-about-exposure-monitoring%2F&amp;linkname=What%20Verified%20Breach%20Data%20Changes%20About%20Exposure%20Monitoring" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhat-verified-breach-data-changes-about-exposure-monitoring%2F&amp;linkname=What%20Verified%20Breach%20Data%20Changes%20About%20Exposure%20Monitoring" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fwhat-verified-breach-data-changes-about-exposure-monitoring%2F&amp;linkname=What%20Verified%20Breach%20Data%20Changes%20About%20Exposure%20Monitoring" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://constella.ai">Constella Intelligence</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Jason Wagner">Jason Wagner</a>. Read the original post at: <a href="https://constella.ai/what-verified-breach-data-changes-about-exposure-monitoring/">https://constella.ai/what-verified-breach-data-changes-about-exposure-monitoring/</a> </p>

<p><span data-contrast="auto">A wireless vulnerability affecting Broadcom Wi-Fi chipsets represents a timely warning for organizations that need always-on wireless access and a prime example of how easy it is for one bad actor to upset the apple cart for every user connected to a network.</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="none">“The vulnerability can be exploited by sending a single frame over the air to the router within range, regardless of the configured network security level. The immediate effect is the loss of connection for all clients on the 5 GHz network, preventing reconnection until the router is manually restarted. This includes guest networks as well,” according to </span><a href="https://www.blackduck.com/blog/cyrc-discovers-asus-tplink-wlan-vulnerabilities-cve-2025-14631.html?cmp=pr-sig&amp;utm_medium=referral" target="_blank" rel="noopener"><span data-contrast="none">Black Duck researchers</span></a><span data-contrast="none"> who discovered the vulnerability. “Ethernet connections and the 2.4 GHz network remain unaffected. After the restart, the attacker can immediately repeat the attack.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">Black Duck’s CyRC team spotted the flaw during fuzz testing when they found Defensics anomaly test cases in which the network would stop working and require a manual reset of the router. If the vulnerability is exploited, attackers can make it so that an access point doesn’t respond to clients and can end client connections underway. The potential for widespread damage from exploitation of the vulnerability is even greater because of the popularity of Broadcom Wi-Fi chipsets.</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">“Given the huge dependence on connectivity for personal devices and ever increasing numbers of IoT and smart devices, the impacts could be significant,” says James Maude, field CTO at BeyondTrust.</span></p><p><span data-contrast="auto">The flaw also “has the potential to open the door to evil twin attacks where the real access point is knocked offline and a rogue one with the same name and password replaces it,” says Maude. </span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">“While the risks of network traffic interception have decreased thanks to the widespread adoption of HTTPS encryption, there is still the risk of captive portals,” he says. “When the user tries to restore their network connection, they are presented with a captive phishing portal requesting their personal or corporate credentials, leading to identity compromise.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">Putting a more dangerous edge on the flaw is the fact that it doesn’t require authentication and encryption settings don’t thwart it. </span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">Noting that “implementation-level flaws in protocols, such as 802.11, are often more difficult to detect than cryptographic weaknesses” while “cryptographic weaknesses are easier to find because there are often only software dependencies,” Ben Ronallo, principal cybersecurity engineer at Black Duck, explains that “a researcher can build the code with breakpoints and watch the memory as the software executes.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">But in that scenario, hardware dependencies are needed for testing. “The access point and a compatible antenna are required to perform this type of testing,” says Ronallo. “Further complicating things, the access point firmware is almost always closed source, which makes introspection much more difficult.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">An attack from exploiting the flaw “is both easy to execute and highly disruptive, underscoring that even mature and widely deployed network technologies can still yield new and serious attack vectors,” says Saumitra Das, vice president of engineering at Qualys. “Because the attack can be launched by an unauthenticated client, encryption alone offers little protection.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">And while this vulnerability initially “seems scary because it lets one unverified wireless frame keep disrupting a 5 GHz network until someone has to step in,” Randolph Barr, CISO at Cequence Security, says “the main risk isn’t simply the outage itself; it’s what long-term instability allows and how deeply it affects how the organization runs.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">Past experience says “problems like this don’t usually stay limited to ‘IT issues,’” says Barr.</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">“Most offices today use wireless connections more than traditional ones. Imagine being on a Zoom escalation call with a customer and the network goes down,” he says. “Even worse, imagine a board meeting where the CEO is discussing financial results, strategy, or an acquisition update, and the connection drops in the middle of the presentation.” </span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">That’s not just annoying, “it can hurt your credibility, slow down decision-making, and make consumers, partners, and executives lose trust in you,” says Barr.</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">Fuzz testing has proven crucial in “validating protocol-stack implementations such as Wi-Fi,” over the years, uncovering “a wide range of vulnerabilities, including buffer overflows in drivers, denial-of-service conditions, remote code execution, and performance instability,” says Das. “Wi-Fi stacks are inherently complex, combining multiple state machines, cryptographic operations, and timing-dependent behaviors, which make them especially prone to subtle and dangerous implementation flaws.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">Broadcom has issued a patch for the vulnerability, but that doesn’t mean protection will come quickly. “Remediation of vulnerabilities in hardware/firmware are always slower due to the downstream effects needing to be fully tested,” says Ronallo. That testing requires time from multiple, independent parties to ensure any changes don’t introduce additional bugs into their products.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">While the industry says the deadline is 90 days, in reality, for hardware/firmware it’s closer to 180-plus days,” he explains.</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">While the flaw is serious, Barr says it “doesn’t mean that someone can immediately take over the router or spy on it.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">It does show, however, he says, “that the wireless control plane’s trust limits have broken down. This kind of issue is an area that many companies think is safe just because it is encrypted.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">To counter these threats, security teams “must start with strong visibility into their environments through accurate asset inventory and continuous scanning, combined with the ability to tag assets by business criticality,” says Das. </span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">“It is not enough to know that access points are vulnerable; teams must understand where they are deployed and how much they matter to the business,” Das explains. “An access point supporting a small innovation lab carries very different risks than one embedded in a core manufacturing or logistics operation.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">And Barr advises, “If you’re building networking in a hospital or your own home, segment your networks to prevent a direct path to your critical systems” and “audit for end of life/support systems (e.g., access points) and replace them when possible.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">If the latter isn’t possible, “lock them down, have redundant logging in place, and monitor network edges with intrusion detection/prevention,” he says. </span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><p><span data-contrast="auto">And, of course, patch systems and consider setting up honeypots “to understand what attacks you could be facing.”</span><span data-ccp-props='{"201341983":0,"335559739":0,"335559740":240}'> </span></p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/flaw-in-broadcom-wi-fi-chipsets-illuminates-importance-of-wireless-dependability-and-business-continuity/" data-a2a-title="Flaw in Broadcom Wi-Fi Chipsets Illuminates Importance of Wireless Dependability and Business Continuity "><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fflaw-in-broadcom-wi-fi-chipsets-illuminates-importance-of-wireless-dependability-and-business-continuity%2F&amp;linkname=Flaw%20in%20Broadcom%20Wi-Fi%20Chipsets%20Illuminates%20Importance%20of%20Wireless%20Dependability%20and%20Business%20Continuity%C2%A0" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fflaw-in-broadcom-wi-fi-chipsets-illuminates-importance-of-wireless-dependability-and-business-continuity%2F&amp;linkname=Flaw%20in%20Broadcom%20Wi-Fi%20Chipsets%20Illuminates%20Importance%20of%20Wireless%20Dependability%20and%20Business%20Continuity%C2%A0" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fflaw-in-broadcom-wi-fi-chipsets-illuminates-importance-of-wireless-dependability-and-business-continuity%2F&amp;linkname=Flaw%20in%20Broadcom%20Wi-Fi%20Chipsets%20Illuminates%20Importance%20of%20Wireless%20Dependability%20and%20Business%20Continuity%C2%A0" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fflaw-in-broadcom-wi-fi-chipsets-illuminates-importance-of-wireless-dependability-and-business-continuity%2F&amp;linkname=Flaw%20in%20Broadcom%20Wi-Fi%20Chipsets%20Illuminates%20Importance%20of%20Wireless%20Dependability%20and%20Business%20Continuity%C2%A0" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fflaw-in-broadcom-wi-fi-chipsets-illuminates-importance-of-wireless-dependability-and-business-continuity%2F&amp;linkname=Flaw%20in%20Broadcom%20Wi-Fi%20Chipsets%20Illuminates%20Importance%20of%20Wireless%20Dependability%20and%20Business%20Continuity%C2%A0" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div>

<p>AI agent orchestration is reshaping how businesses build intelligent systems. It moves beyond single chatbots or generative interfaces, coordinating multiple specialized <a href="https://www.ishir.com/blog/141152/the-future-of-ai-why-agentic-ai-is-the-key-to-business-innovation.htm" rel="noopener">AI agents</a> to complete complex tasks with minimal human supervision. Instead of one general purpose model handling everything, orchestration connects many focused agents that collaborate, share context, and automate workflows efficiently.</p><p>This blog explains what AI agent orchestration is, how it works in enterprise environments, the major technology platforms driving adoption, key frameworks and patterns, business use cases, risks and considerations, and how companies like ISHIR support clients implementing these AI agent orchestration solutions and advanced AI systems.</p><h2>What Is AI Agent Orchestration</h2><p>AI agent orchestration is the structured management and coordination of multiple autonomous AI agents to reach shared objectives. Each agent is designed for a specific function, such as extracting data, summarizing content, handling customer requests, or triggering integrations. The orchestrator acts as the coordinator that routes tasks, manages shared state, handles communication, and sequences steps toward a goal.</p><p>This approach contrasts with single <a href="https://www.ishir.com/blog/307391/how-do-i-integrate-llms-into-my-software-product-without-blowing-up-infrastructure-costs.htm" rel="noopener">large language model (LLM) applications</a> that respond to prompts. With orchestration, intelligent agents work together, combining their specialized abilities to solve complex, multi-step problems.</p><h2>How AI Agent Orchestration Works</h2><h4><strong>AI Agent Design</strong></h4><p>AI Agents are autonomous software units with specific skills. One agent might fetch documents, another might analyze sentiment, another might check regulatory compliance, and another might summarize results for a human reviewer. All <a href="https://www.ishir.com/hire-ai-agent-developers.htm" rel="noopener">AI agents are built</a> to communicate with each other through protocols defined by the orchestrator.</p><h4><strong>Task Decomposition</strong></h4><p>The orchestrator breaks down a high-level request into steps. For example, a request to prepare a regulatory report might be broken into research, extraction, analysis, and compilation. The orchestrator assigns each step to the right agent and ensures the output feeds into the next step.</p><h4><strong>Shared Context</strong></h4><p>AI Agents maintain a shared workspace or context store so that data from one agent is available to others. The orchestrator tracks state and manages transitions, ensuring information flow does not get lost across steps.</p><h4><strong>Communication Protocols</strong></h4><p>Orchestration requires structured communication between agents. <a href="https://www.ishir.com/blog/203185/top-ai-app-builders-showdown-speed-features-pricing-which-one-wins-in-2025.htm" rel="noopener">Modern AI frameworks</a> use message buses, shared databases, or direct API calls so agents can coordinate without bottlenecks.</p><h4><strong>Workflow Patterns</strong></h4><p>Orchestrators define workflow patterns from linear sequences to parallel processing. This allows systems to run steps concurrently where possible, improving performance and throughput.</p><h2>Why AI Orchestration Matters for Business</h2><p><strong>Complexity</strong></p><p>Many real business processes involve multiple steps and decision points. Orchestration enables automation chains that align with enterprise workflows.</p><p><strong>Scalability</strong></p><p>Rather than building custom monolithic <a href="https://www.ishir.com/blog/90145/10-ai-tools-every-software-developer-should-be-using-in-2023-beyond.htm" rel="noopener">AI tools</a> for every task, orchestration allows reuse of agents across many scenarios, saving engineering effort.</p><p><strong>Transparency</strong></p><p>With proper orchestration tooling, steps are traceable. Enterprises can audit why an agent chose a particular action or path.</p><p><strong>Efficiency</strong></p><p>Orchestration systems reduce manual coordination between systems and teams, accelerating outcomes and lowering costs.</p><h2>Core Technologies Behind AI Agent Orchestration</h2><h4><strong>Large Language Models (LLMs)</strong></h4><p>LLMs provide general reasoning and language capabilities that many agents rely on to interpret inputs, plan next actions, and generate outputs.</p><h4><strong>Vector Stores and Memory Systems</strong></h4><p>Agents often need a memory layer to store knowledge, context, or reference data. Vector databases support semantic search and retrieval across agent workflows.</p><h4><strong>API Integrations</strong></h4><p>Agents use APIs to interact with systems like CRMs, data lakes, content repositories, or analytics platforms.</p><h4><strong>Workflow Engines</strong></h4><p>Workflow engines coordinate multi-step logic and state transitions across agents. These act as the backbone of orchestration systems.</p><h2>Major Technology &amp; AI Players Investing in AI Agent Orchestration</h2><h4><strong>Microsoft</strong></h4><p>Microsoft offers a suite of tools for building and orchestrating AI agents. Its Agent Framework is open source and supports multi-agent workflows, state management, tool calling, and observability. The Azure AI platform provides models, orchestration tools, and enterprise grade governance.</p><p>Microsoft also embeds agent orchestration into its productivity suite with <a href="https://www.ishir.com/microsoft-office-365-consulting-service.htm" rel="noopener">Microsoft 365</a> Copilot, allowing agents to automate tasks like data analysis, summarization, and workflow automation in everyday apps.</p><h4><strong>Google</strong></h4><p>Google’s Vertex AI Agent Builder and related tools in the Vertex AI ecosystem support rapid creation, scaling, and governance of enterprise agents. This platform integrates with Google Cloud data services and model hosting.</p><p>Google defines agentic AI as systems capable of setting goals, planning, and executing tasks with limited human oversight, which aligns directly with orchestration models.</p><h4><strong>Other Key AI Agent Platforms</strong></h4><p>There are many AI Agent frameworks and AI tools emerging in the orchestration space. Examples include n8n, LangGraph, and CrewAI, which provide orchestration features like communication layers, task routing, and workflow definition.</p><p>Some open source and experimental tools such as OpenAI’s Swarm are also advancing multi-agent orchestration research.</p><p>Enterprises like PwC have launched platforms that function as agent “switchboards” to connect agents from various providers and automate cross-functional tasks.</p><h2>Use Cases in the Real World</h2><ul> <li><strong>Customer Service Automation: </strong>Orchestrated agents can handle incoming support tickets, classify issues, retrieve relevant knowledge, and deliver answers. If escalation is needed, they route tasks to human staff.</li> <li><strong>Data Extraction and Reporting: </strong>Agents can fetch data from multiple repositories, analyze insights, and build consolidated reports for finance, compliance, or executive dashboards.</li> <li><strong>Intelligent Workflow Automation: </strong>HR, legal, procurement, and IT processes that involve many discrete steps benefit from orchestration. Agents can trigger actions, enforce policies, and integrate with backend systems.</li> <li><strong>Personalized Engagement: </strong>Marketing and sales can use orchestration to tailor outreach and content generation based on customer segments without manual intervention.</li> </ul><h2>Challenges and Risks</h2><p><strong>Governance: </strong>AI agent orchestration involves decisions across multiple systems. Without controls, it is difficult to audit why an agent acted in a certain way.</p><p><strong>Trust and Safety: </strong>Unsupervised agents could inadvertently access sensitive data or take incorrect actions. Strong safety and access controls are essential.</p><p><strong>Integration Complexity: </strong>Connecting agents to diverse systems and data sources requires engineering investment.</p><h2>How ISHIR Helps</h2><p>At ISHIR we help companies understand, plan, and <a href="https://www.ishir.com/generative-ai-solutions.htm" rel="noopener">build AI agent orchestration solutions</a> that align with business goals. Our approach begins with strategy and architecture, identifying processes most suitable for orchestration and assessing data access, integrations, and security requirements.</p><p>We build prototypes and production ready <a href="https://www.ishir.com/artificial-intelligence.htm" rel="noopener">AI solutions</a> using best practices in AI agent design, AI agent orchestration frameworks, and AI governance. ISHIR teams work closely with clients to ensure AI agent workflows are efficient, auditable, and scalable.</p><p>We serve clients in Dallas Fort Worth, Austin, Houston, and San Antonio Texas with teams in India, LATAM, and East Europe.</p><p>Our AI experience spans enterprise automation, customer AI workflows, and integration with cloud platforms from Microsoft, Google, and other leading vendors like Open AI. We focus on delivering solutions that produce measurable business value.</p><div class="ctaThreeWrapper"> <div class="ctaThreeContent"> <div class="ctaThreeConList"> <div class="content"> <h2>Your AI initiatives are isolated experiments instead of scalable, end-to-end automation.</h2> <p>Implement AI agent orchestration that connects models, data, and systems into production-ready, governed workflows.</p> <div class="linkWrapper"><a href="https://www.ishir.com/get-in-touch.htm" rel="noopener">Get Started</a></div> </div> </div> </div> </div><h2>FAQs About AI Agent Orchestration Solutions</h2><h4><strong>1. What is AI agent orchestration?</strong></h4><p><strong>A.</strong> AI agent orchestration coordinates multiple specialized AI agents to complete complex workflows efficiently.</p><h4><strong>2. How does orchestration differ from traditional AI?</strong></h4><p><strong>A.</strong> Traditional AI responds to individual prompts; orchestration links agents to work together on tasks.</p><h4><strong>3. What is an AI agent?</strong></h4><p><strong>A.</strong> An AI agent is software capable of autonomous decision-making and actions in pursuit of a goal.</p><h4><strong>4. Why use agent orchestration?</strong></h4><p><strong>A.</strong> It improves scalability, handles complexity, and enables automation of multi-step workflows.</p><h4><strong>5. What platforms support AI agent orchestration?</strong></h4><p><strong>A.</strong> Microsoft’s Agent Framework, Google’s Vertex AI Agent Builder, and open source tools like LangGraph.</p><h4><strong>6. Is AI orchestration only for large companies?</strong></h4><p><strong>A.</strong> No, small and mid-size businesses with complex processes benefit from orchestration as well.</p><h4><strong>7. What industries use AI agent orchestration?</strong></h4><p><strong>A.</strong> Finance, healthcare, retail, logistics, HR, legal, and more.</p><h4><strong>8. What risks are associated with orchestration?</strong></h4><p><strong>A.</strong> Governance, data access, and integration complexity.</p><h4><strong>9. Can agent orchestration improve customer service?</strong></h4><p><strong>A.</strong> Yes, by automating responses and workflow routing.</p><h4><strong>10. How do agents share context?</strong></h4><p><strong>A.</strong> Through shared memory stores and state tracking.</p><h4><strong>11. Do orchestrated agents learn over time?</strong></h4><p><strong>A.</strong> Some systems use feedback loops and adaptive models.</p><h4><strong>12. What languages do frameworks support?</strong></h4><p><strong>A.</strong> Frameworks often support Python, .NET, and other popular developer languages.</p><h4><strong>13. How does orchestration impact efficiency?</strong></h4><p><strong>A.</strong> It automates repetitive tasks and reduces manual coordination.</p><h4><strong>14. Is orchestration secure?</strong></h4><p><strong>A.</strong> Security depends on access controls and governance tooling.</p><h4><strong>15. Can orchestration integrate with existing systems?</strong></h4><p><strong>A.</strong> Yes, agents can call APIs and interact with enterprise apps.</p><h4><strong>16. Do orchestrators manage workflows?</strong></h4><p><strong>A.</strong> Yes, they sequence and execute multi-step tasks.</p><h4><strong>17. What is a workflow engine?</strong></h4><p><strong>A.</strong> A workflow engine coordinates steps and tracks state across agents.</p><h4><strong>18. Are there visual orchestration tools?</strong></h4><p><strong>A.</strong> Some platforms offer low-code or visual workflow design.</p><h4><strong>19. What is an example of agent orchestration?</strong></h4><p><strong>A.</strong> Coordinating data retrieval, analysis, and reporting across multiple specialized agents.</p><h4><strong>20. How does ISHIR approach orchestration projects?</strong></h4><p><strong>A.</strong> We align orchestration strategy with business goals and build scalable solutions.</p><p>The post <a href="https://www.ishir.com/blog/313910/ai-agent-orchestration-how-it-works-and-why-it-matters.htm">AI Agent Orchestration: How It Works and Why It Matters</a> appeared first on <a href="https://www.ishir.com/">ISHIR | Custom AI Software Development Dallas Fort-Worth Texas</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/ai-agent-orchestration-how-it-works-and-why-it-matters/" data-a2a-title="AI Agent Orchestration: How It Works and Why It Matters"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-agent-orchestration-how-it-works-and-why-it-matters%2F&amp;linkname=AI%20Agent%20Orchestration%3A%20How%20It%20Works%20and%20Why%20It%20Matters" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-agent-orchestration-how-it-works-and-why-it-matters%2F&amp;linkname=AI%20Agent%20Orchestration%3A%20How%20It%20Works%20and%20Why%20It%20Matters" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-agent-orchestration-how-it-works-and-why-it-matters%2F&amp;linkname=AI%20Agent%20Orchestration%3A%20How%20It%20Works%20and%20Why%20It%20Matters" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-agent-orchestration-how-it-works-and-why-it-matters%2F&amp;linkname=AI%20Agent%20Orchestration%3A%20How%20It%20Works%20and%20Why%20It%20Matters" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fai-agent-orchestration-how-it-works-and-why-it-matters%2F&amp;linkname=AI%20Agent%20Orchestration%3A%20How%20It%20Works%20and%20Why%20It%20Matters" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://www.ishir.com/">ISHIR | Custom AI Software Development Dallas Fort-Worth Texas</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Rishi Khanna">Rishi Khanna</a>. Read the original post at: <a href="https://www.ishir.com/blog/313910/ai-agent-orchestration-how-it-works-and-why-it-matters.htm">https://www.ishir.com/blog/313910/ai-agent-orchestration-how-it-works-and-why-it-matters.htm</a> </p>

<h2>Are Cloud Secrets Truly Secure with Automated Rotation Systems?</h2><p>What assures you that your cloud secrets are safe? Where organizations increasingly migrate operations to the cloud, safeguarding machine identities—referred to as Non-Human Identities (NHIs)—becomes paramount. These NHIs are the machine identities within cybersecurity, defined by the pairing of a secret, such as an encrypted password or key, and the permissions accorded by destination servers.</p><h3>Understanding Non-Human Identities in Cybersecurity</h3><p>Machine identities play a crucial role in digital environments, resembling the activities of tourists with passports and visas. Here, the secret acts as a passport—a credential granting access to cloud resources—while the permissions function like a visa, subject to the hosting server’s constraints. The effective management of NHIs entails protecting both their identities and associated secrets, along with the monitoring of their interactions within systems.</p><p>By focusing on this unique approach, NHIs address prevalent security gaps, particularly those arising from the disconnection between security and R&amp;D teams. The ultimate objective is to forge a secure and cohesive cloud environment.</p><h3>The Key Benefits of NHI Management</h3><p>Achieving rigorous oversight in NHI management delivers numerous advantages for cybersecurity teams:</p><ul> <li><strong>Reduced Risk:</strong> Proactively identifying and mitigating security risks helps prevent potential breaches and data leaks.</li> <li><strong>Improved Compliance:</strong> Policies are enforced and audit trails established, assisting organizations in meeting regulatory requirements.</li> <li><strong>Increased Efficiency:</strong> Automation of NHI and secrets management enables security teams to dedicate more time to strategic initiatives.</li> <li><strong>Enhanced Visibility and Control:</strong> A centralized view offers comprehensive access management and governance.</li> <li><strong>Cost Savings:</strong> Significant operational costs are reduced through the automation of secrets rotation and the decommissioning of NHIs.</li> </ul><h3>Adopting a Holistic Approach to Security</h3><p>A robust system of NHI management provides full lifecycle protection. This strategy involves everything from discovery and classification of secrets to threat detection and remediation. Unlike point solutions—such as secret scanners that offer limited protection—comprehensive NHI management platforms deliver insights into ownership, permissions, usage patterns, and potential vulnerabilities. Context-aware security ensures a more nuanced defense against threats.</p><h3>Secrets Security in Cloud Environments</h3><p>When businesses transition to cloud-based operations, the importance of protecting cloud secrets cannot be overstated. Failure to adequately manage these secrets can lead to unauthorized access and devastating data breaches. The role of automated rotation systems in safeguarding cloud secrets becomes even more critical in preventing such security events. To explore further, see how <a href="https://entro.security/blog/secrets-security-in-hybrid-cloud-environments/">secrets security is managed in hybrid cloud environments</a>.</p><p>Automated rotation systems play a pivotal role in enhancing secrets safety by regularly updating access credentials, which minimizes the risk of exploitation. By continuously rotating secrets, these systems mitigate the risk of credential-based attacks, which are increasingly prevalent. Learn more about the complexities of secrets rotation through this <a href="https://aws.plainenglish.io/the-somewhat-complicated-process-of-rotating-secrets-91f0b6962336" rel="noopener">detailed analysis</a>.</p><h3>Integrating NHI Management for Cloud Security</h3><p>To ensure comprehensive cloud security, organizations must incorporate NHI and secrets management into their cybersecurity strategies. This integration is crucial for minimizing security risks while simultaneously achieving a balance between access control and operational efficiency. By employing an automated and systematic approach to managing NHIs and their secrets, businesses can significantly decrease the risk of unauthorized access and data leaks.</p><p>For a practical example, consider how <a href="https://entro.security/blog/how-elastic-scaled-secrets-nhi-security-elastics-playbook-from-visibility-to-automation/">Elastic successfully scaled secrets and NHI security</a>. This case study reveals how strategic planning and automation can help pivot operations towards a more secure and efficient framework. The approach demonstrates the necessity of establishing visibility and control, ensuring that organizations can navigate the challenges of cloud-centric infrastructures effectively.</p><p>NHIs empower cybersecurity teams to leverage insights and implement security measures that align with their operational goals. By keeping pace with technological advancements, organizations can enhance their cybersecurity postures and remain resilient in evolving threats, ensuring their cloud secrets stay protected in all scenarios.</p><h3>Understanding the Threat Landscape for Cloud Environments</h3><p>How prepared is your organization to fend off sophisticated cyber threats? The move to cloud environments has brought unparalleled scalability and flexibility but not without introducing a complex web of security challenges. While humans have traditionally been the focal point in identity and access management (IAM), digital demands that Non-Human Identities (NHIs) are equally prioritized in cybersecurity frameworks.</p><p>NHIs, much like human identities, are susceptible to attacks. Cybercriminals are continually devising ways to exploit machine identities, using them as gateways to infiltrate organizations’ infrastructures. These threats are further exacerbated by the rapid pace at which technology evolves, increasing the attack surface at an alarming rate. A recent report highlights that 68% of organizations have experienced attacks where machine identities were the primary target.</p><p>To mitigate such risks, organizations should adopt holistic NHI management strategies. This includes not only technological interventions but also fostering a culture of security awareness across departments.</p><h3>Fostering Collaboration Between Security and R&amp;D Teams</h3><p>Have you considered how the disparity between your security and R&amp;D teams might be a potential security vulnerability? In many organizations, these two departments often operate in silos despite their interdependent roles. The lack of collaboration can lead to oversight, especially in managing NHIs, where secrets might be embedded in deployment pipelines, unnoticed by security reviewers.</p><p>To address this, fostering an understanding between security professionals and developers is vital. Collaborative platforms and integrated tools that provide visibility into the entire NHI lifecycle are crucial in bridging these gaps. For instance, tools that allow developers to flag potential security issues early in the development cycle can significantly reduce vulnerabilities. This proactive approach encourages engineers and security experts to work together, ensuring that security is embedded into the development process right from the start, leaving no room for complacency.</p><h3>Building a Resilient Security Posture with Automated Systems</h3><p>With cyber threats becoming more sophisticated, how effective are automated systems in fortifying your security stance? Automated solutions for cloud secrets and NHIs management play a pivotal role in creating a robust security posture. These systems minimize human error, reduce the time-to-detect threats, and provide agility in responding to incidents.</p><p>The deployment of automated secrets rotation systems is one such measure. By regularly updating credentials, these systems minimize the lifespan of vulnerabilities, making it more challenging for threats to capitalize on static secrets. A pertinent example of effective automation can be explored in coordination with <a href="https://www.reddit.com/r/kubernetes/comments/nkblpg/secret_rotation_via_cronjob/" rel="noopener">secret rotation strategies via cron jobs</a>, which illustrate how a systematic approach to credential management can mitigate potential leakage risks.</p><p>However, automation doesn’t operate in a vacuum. It should be complemented by robust policies, active monitoring, and continuous education of staff to ensure that these technologies are functioning optimally and in alignment with the organization’s broader security objectives.</p><h3>Evaluating NHIs’ Lifecycle for Enhanced Security</h3><p>Is your organization equipped to manage the full lifecycle of Non-Human Identities? Comprehensive NHI management spans several critical stages—from discovery and classification to monitoring, renewal, and decommissioning. Each phase demands different strategies and tools to ensure that machine identities are protected throughout their lifecycle.</p><p>During the discovery and classification stage, identifying all active NHIs within your network is vital. Utilizing advanced analytics and AI-driven platforms can expedite this process, offering a real-time overview of active machine identities along with their associated secrets and permissions.</p><p>Once identified, monitoring these NHIs for abnormal activities or patterns is crucial. Organizations can benefit from anomaly detection models that alert security teams to potential breaches or misuse of machine credentials. This constant surveillance ensures any suspicious activity is swiftly addressed, nullifying threats before they escalate to full-blown incidents.</p><p>Finally, at the end of an NHI’s lifecycle, secure decommissioning ensures that retired identities and their secrets are purged from active directories and networks. Automated decommissioning tools can accelerate this process, closing potential security gaps that may arise from neglected machine identities.</p><h3>The Role of Policy Enforcement in Secrets Management</h3><p>Are there effective policies in place to manage secrets efficiently? Policy enforcement is an often-overlooked aspect of secrets management. Without firm policies, even well-automated systems can fail to deliver the intended outcomes. Policies should define how secrets and NHIs are created, used, rotated, and retired, offering a structured framework for all stakeholders involved.</p><p>Comprehensive audit trails, as part of policy enforcement, offer historical insights into secret use, empowering organizations to make informed decisions and forecasts. These trails are also invaluable for compliance, when they provide concrete evidence of security measures post-implementation.</p><p>To explore successful policy frameworks, consider engaging with resources like <a href="https://cloud.ibm.com/docs/secrets-manager?topic=secrets-manager-add-certificate-authority" rel="noopener">IBM’s approach to secrets management in the cloud</a> or <a href="https://aps.autodesk.com/en/docs/applications/v1/developers_guide/basics/secret_rotation" rel="noopener">Autodesk’s best practices in secret rotation</a>.</p><p>Policy frameworks, combined with continuous employee training, prompt organizations to remain agile and responsive to changing threats. By establishing stringent controls and guiding their workforce on best practices, businesses can build resilient defenses to safeguard their Non-Human Identities effectively.</p><p>Organizations ready to embrace a comprehensive NHI management strategy will find themselves better positioned to navigate the challenges of the cloud-centric. By prioritizing active collaboration, leveraging automation, and enforcing robust policies, cybersecurity teams can ensure their infrastructures remain secure against the backdrop of a rapidly evolving threats.</p><p>With technologies advance, so too must our approaches to security. Keeping Non-Human Identities updated and protected will be crucial in maintaining system integrity and protecting sensitive data from unauthorized access.</p><p>The post <a href="https://entro.security/are-cloud-secrets-safe-with-automatic-rotation-systems/">Are cloud secrets safe with automatic rotation systems</a> appeared first on <a href="https://entro.security/">Entro</a>.</p><div class="spu-placeholder" style="display:none"></div><div class="addtoany_share_save_container addtoany_content addtoany_content_bottom"><div class="a2a_kit a2a_kit_size_20 addtoany_list" data-a2a-url="https://securityboulevard.com/2026/02/are-cloud-secrets-safe-with-automatic-rotation-systems/" data-a2a-title="Are cloud secrets safe with automatic rotation systems"><a class="a2a_button_twitter" href="https://www.addtoany.com/add_to/twitter?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fare-cloud-secrets-safe-with-automatic-rotation-systems%2F&amp;linkname=Are%20cloud%20secrets%20safe%20with%20automatic%20rotation%20systems" title="Twitter" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_linkedin" href="https://www.addtoany.com/add_to/linkedin?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fare-cloud-secrets-safe-with-automatic-rotation-systems%2F&amp;linkname=Are%20cloud%20secrets%20safe%20with%20automatic%20rotation%20systems" title="LinkedIn" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_facebook" href="https://www.addtoany.com/add_to/facebook?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fare-cloud-secrets-safe-with-automatic-rotation-systems%2F&amp;linkname=Are%20cloud%20secrets%20safe%20with%20automatic%20rotation%20systems" title="Facebook" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_reddit" href="https://www.addtoany.com/add_to/reddit?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fare-cloud-secrets-safe-with-automatic-rotation-systems%2F&amp;linkname=Are%20cloud%20secrets%20safe%20with%20automatic%20rotation%20systems" title="Reddit" rel="nofollow noopener" target="_blank"></a><a class="a2a_button_email" href="https://www.addtoany.com/add_to/email?linkurl=https%3A%2F%2Fsecurityboulevard.com%2F2026%2F02%2Fare-cloud-secrets-safe-with-automatic-rotation-systems%2F&amp;linkname=Are%20cloud%20secrets%20safe%20with%20automatic%20rotation%20systems" title="Email" rel="nofollow noopener" target="_blank"></a><a class="a2a_dd addtoany_share_save addtoany_share" href="https://www.addtoany.com/share"></a></div></div><p class="syndicated-attribution">*** This is a Security Bloggers Network syndicated blog from <a href="https://entro.security/">Entro</a> authored by <a href="https://securityboulevard.com/author/0/" title="Read other posts by Alison Mack">Alison Mack</a>. 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