Why Agentic AI Breaks Legacy Identity — and What Infrastructure Leaders Must Do Next

Agentic AI is forcing a rethink of how identity and access control work across modern infrastructure. This webinar examines why autonomous, non deterministic AI systems break legacy identity models that were designed for humans, static workloads, and long lived credentials. The discussion focuses on how agents, copilots, and AI driven workflows introduce new risks such as credential sprawl, uncontrolled privilege, weak auditability, and expanded blast radius.

Speakers will explain why this is not an LLM issue, but an infrastructure identity problem. The session outlines how traditional IAM, PAM, and network based controls fall short in AI driven environments and what infrastructure leaders must do to prepare for secure AI adoption. Attendees will gain practical insight into building identity frameworks that support autonomy while maintaining security, governance, and operational control.