Today, Recorded Future is announcing AI Infrastructure Indicator Lists, curated datasets for security teams to identify, monitor, and implement controls for AI-related network traffic. AI Infrastructure Indicator Lists are included for free for Recorded Future customers with a Cyber Operations license.
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<p>Artificial intelligence has increasingly become enterprise infrastructure and organizations are now confronting unsanctioned tool use (aka shadow AI), data exposure, and autonomous behavior that their controls cannot always see.</p>
<p>Recorded Future's AI Infrastructure Indicator Lists focus on closing this gap across risk, IT, and GRC teams whether the goal is policy enforcement, data loss prevention, or detecting shadow AI.</p>
<h2>AI is accumulating security debt</h2>
<p>The hidden risks of an abundance of AI within an organization are often overshadowed by the daily threats that have to be prioritized by a security team. Last year, we reported on how <a href="https://www.recordedfuture.com/research/the-hidden-cost-of-ai-security-debt" rel="noreferrer" target="_blank">security debt</a> has been accrued by almost every organization, and the unaddressed risks are piling up faster than teams can service them. As a result, blind spots in AI governance are also increasing.</p>
<p>Take, for example, agentic AI. Its adoption is accelerating rapidly and agents are operating across interconnected systems, giving threat actors more room to exploit vulnerabilities at the organizational level and across supply chains.</p>
<p>Consider a free, viral AI assistant that an employee discovers on social media and installs on their own machine to boost productivity. No procurement process, no security review, no IT visibility.</p>
<p>That's not a hypothetical. OpenClaw, a free open-source AI assistant, saw explosive adoption earlier this year with almost no organizational oversight. Multiply that across a workforce and security teams left trying to govern tools they don't know exist.</p>
<p>By 2027, an estimated <a href="https://www.gartner.com/en/newsroom/press-releases/2023-03-28-gartner-unveils-top-8-cybersecurity-predictions-for-2023-2024?utm_source=chatgpt.com" rel="noreferrer" target="_blank">75% of employees</a> are expected to adopt or build technology outside IT governance. As agents become more ubiquitous, defenders need to ensure they can identify which technologies are living on their networks, and begin to track and manage access permissions for autonomous processes in the same way they manage permissions for human users.</p>
<h2>Introducing AI Infrastructure Indicator Lists</h2>
<p>While many threat feeds give you a wall of indicators and leave you to figure out what they are and whether to trust them, Recorded Future’s AI Infrastructure Indicator Lists do the opposite.</p>
<p>AI Infrastructure Indicator Lists are curated, regularly refreshed datasets that map the AI infrastructure your users, developers, and adversaries are actually reaching for. Indicators include IP addresses, CIDR ranges, and domains, carrying their own Risk Scores and comment fields with service attribution.</p>
<p>Recorded Future provides two distinct AI-related lists: the AI infrastructure list and the Chinese AI infrastructure list. The lists cover a comprehensive range of tools, including general-purpose AI assistants, AI coding assistants, vibe-coding tools, AI search tools, voice and audio AI tools, AI video tools, Chinese-domiciled AI tools, and autonomous AI agents.</p>
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<img alt="" height="864" src="https://www.recordedfuture.com/media_197e511777f04114c1576d65a583d55ed4c0a4b04.png?width=750&format=png&optimize=medium" width="1302" />
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<div><strong>Figure 1:</strong> List of AI tools monitored in AI Infrastructure Indicator Lists</div>
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Article Link: Recorded Future Introduces AI Infrastructure Indicator Lists, Strengthening AI Governance