AI Governance Starts Beneath the AI The Data and Policies Every Model and Agent Depends On

Written By Chris Nobili

Most AI governance programs govern the layer you can see: policies, model inventories, review boards. The real risk sits one layer down, in the data and policies every model and agent actually depends on.

In this 45-minute session, Auditrol co-founders Chris Nobili and Ashwin Nayak walk through why the unit of risk has moved from the individual model to the full agentic system, and show it live: a real AI agent layered onto a production banking model, controls enforced in real time, and a policy scored on camera against industry frameworks.

What you'll see:

  • Why governance has to move from ad hoc reviews to real-time assurance

  • A live example: an AI agent layered onto an existing model, with guardrails at every step

  • The Auditrol platform catching a real policy violation and scoring control effectiveness, live

  • Five decisions you can act on immediately, no prescriptive standard required

Chris Nobili
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