GOVSMART

As Federal agencies deploy autonomous AI agents that execute tasks with the same access and privileges as human users, the traditional foundations of identity security are being upended. Legacy models built around static credentials and one-time verification are no longer effective.

This webinar explores why Zero Trust isn't just another control layer for agentic AI, but the operating principle that makes autonomous systems governable at scale. We'll examine how identity must become fluid rather than fixed, why context needs continuous re-evaluation and how "never trust, always verify" applies when the entity being verified might be a non-human agent making its own decisions in real time.

Attendees will learn:

• How agentic AI changes the identity security threat model
• Why static trust assumptions fail against autonomous, privileged-acting systems
• Practical steps for embedding continuous verification into agentic AI architectures

Join us to understand why, in a world of autonomous agents, Zero Trust shifts from best practice to a prerequisite for resilience.

• How agentic AI changes the identity security threat model
• Why static trust assumptions fail against autonomous, privileged-acting systems
• Practical steps for embedding continuous verification into agentic AI architectures