Webinar Description
Key Takeaways
- Addresses the challenge of managing identity for autonomous AI agents and automated service accounts operating continuously.
- Explores layering Attribute-Based Access Control (ABAC) over existing Role-Based Access Control (RBAC) without disrupting workflows.
- Examines retroactive breach detection challenges when autonomous systems have already executed actions.
- Targets CISOs and security professionals managing non-human identities in enterprise environments.
About the Event
This live, unscripted fireside chat brings together security experts to discuss the operational realities of identity management in AI-driven environments. The session focuses on how enterprises can maintain security controls while preserving business agility as they deploy fleets of autonomous AI agents and automated service accounts.
The Identity Fabric Approach
Traditional RBAC is proving insufficient for modern enterprise environments, accumulating technical debt and expanding potential breach impact. The discussion centers on the “Identity Fabric” concept, which combines existing RBAC scaffolding with real-time ABAC evaluations. This layered approach allows organizations to introduce dynamic, attribute-based controls without requiring disruptive migrations or abandoning existing role structures.
Key Topics
- RBAC Legacy Debt: Strategies for layering real-time ABAC over existing RBAC roles without breaking current workflows.
- Non-Human and Agentic Identities: Frameworks for authorizing autonomous AI agents, ephemeral accounts, and non-deterministic data queries.
- Retroactive Action Risks: Adapting security controls when breach detection occurs after autonomous actions have already been executed.
- Security Fundamentals: Why core security hygiene, architecture, and infrastructure matter more than reacting to emerging threat narratives.
Who Should Attend
This session is designed for CISOs, identity and access management professionals, and security architects responsible for governing non-human identities in enterprise environments deploying AI agents and automated systems.