As organizations embrace AI, a new challenge is emerging: identities are no longer exclusively human. Autonomous AI agents, LLM-powered workflows, and M2M interactions are becoming part of the enterprise workforce, blurring the lines between users and systems. At the same time, adversaries are weaponizing AI to launch highly targeted identity-based attacks from deepfake-enabled MFA bypasses to automated privilege escalation.
Traditional IAM architectures are ill-equipped for this reality. They assume static users, predictable access patterns, and clear boundaries between humans and service accounts. These assumptions no longer hold. In the AI-native enterprise, identity is both the new control plane and the new attack surface.
This session explores how security and IAM leaders can design an identity fabric to secure both human and non-human actors in an AI-driven world. We will address three critical challenges:
- Governing autonomous AI agents and machine identities with trust and lifecycle management.
- Moving beyond static policies to adaptive, context-aware access controls that operate at machine speed.
- Countering AI-enabled threats with defensive AI for behavioral analytics, continuous authentication, and dynamic Zero Trust enforcement.
Attendees will leave with a blueprint for building AI-ready identity ecosystems that are resilient, adaptive, and secure—empowering them to lead confidently in an era where humans and machines collaborate seamlessly, and threats are more intelligent than ever.
