Find the AI You Don’t Know You Have: An Architecture-driven Playbook for AI Discovery

AI is already running in your enterprise — whether embedded in vendor products, installed as developer libraries, deployed in data science notebooks, signed up for through shadow SaaS, and increasingly operating as autonomous agents. The risk register, threat model and control framework all begin with the same question: “What AI systems do we have?” Most security programs cannot answer it confidently. In this webinar, IANS Faculty Jon Stone provides an architecture-driven playbook for discovering AI systems across the enterprise, the key to establishing the foundation every downstream AI risk and security activity depends on.

• Differentiate AI system inventory from use case inventory and explain why cyber risk analysis requires the former

• Identify the five AI architecture types security teams must account for

• Apply a five-method systematic discovery protocol to find approved AI across procurement, TPRM, CMDB, SaaS management and SDLC sources

• Apply a five-method shadow AI discovery protocol using network telemetry, code and endpoint scanning, CASB data, model registry crawling and structured human discovery

• Design an AI inventory schema with the attributes required to support downstream risk analysis and control mapping