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    An AI inventory is the comprehensive list of every AI system in an organization's environment. While similar to an AI catalog, the inventory emphasizes completeness — it includes not just approved tools, but everything discovered through automated detection: shadow AI, embedded AI features in existing SaaS, AI-powered browser extensions, coding assistants, and AI agents.

    Building an accurate inventory requires multiple detection methods: identity provider logs (OAuth grants to AI services), network traffic analysis (DNS queries to AI domains), endpoint monitoring (installed AI applications), and DLP signals (data flowing to AI services).

    Why it matters

    The EU AI Act and NIST AI RMF both require organizations to maintain an inventory of AI systems they deploy or use. An inventory is also the starting point for any risk assessment — you can't evaluate what you haven't cataloged.