AI agents are rapidly becoming part of enterprise operations, but most organizations cannot confidently say how many agents they have, who owns them, or what they can access.
Traditional identity governance was built primarily for human and machine identities with predictable lifecycles and access patterns. AI agents are different. They can act autonomously, change capabilities quickly, operate across multiple systems, and introduce new questions around ownership, oversight, and accountability.
Join Omada’s Craig Ramsay and Paul Walker to explore what identity-first agent governance requires in practice.
You’ll learn:
- Why existing identity security tools were not built for AI agents
- How to discover and correlate agents across platforms
- How to establish clear ownership and accountability
- How to understand agent access and identify changes that introduce risk
- How drift detection and credential lifecycle management support continuous governance
Learn how to apply proven identity governance principles to AI agents while addressing the new risks and behaviors they introduce.
