AI governance starts beneath the AI. Most programs govern the layer they can see: policies, model inventories, and review boards. This roundtable goes one layer down, to the data and policies every model and agent depends on.
Who Owns AI Risk: where governance sits today, and who answers when an agent acts.
From Model to System: why the unit of risk has moved from one model to the full agentic system.
Beneath the AI: governing the data, lineage, and policies every model and agent depends on.
Real-Time Assurance: moving from periodic, ad hoc reviews to controls enforced as AI runs.
Third-Party AI: governing vendor and embedded models your institution did not build.
Exam Readiness: the evidence examiners will ask for, before a prescriptive AI standard exists.
Can’t attend? Watch AI Governance Starts Beneath the AI, a 45-minute Auditrol Institute session with a live demo of real-time controls, policy scoring, and a caught policy violation.