Autonomous AI agents can act continuously, invoke tools and pursue goals without the behavioral constraints that shape human activity. Traditional identity and access management, built around stable roles and standing privileges, cannot adequately govern these dynamic machine identities. Organizations need runtime controls that preserve the speed of AI innovation while limiting unintended actions across hybrid and multi-cloud environments.

In this insightful session, the panel of experts will discuss:

• How agent inventories, zero trust and just-in-time credentials can replace standing access with narrowly scoped permissions;
• Why each agent, tool, workload and connection needs a distinct identity, continuous authorization and a kill switch;
• How intent tracking, event-based audit trails, approval gates and centralized platforms can support accountability without slowing development.