Shadow Agents, Hidden Secrets, Real Risk: Governing AI Identities

In government and education environments, AI agents are already showing up in service desks and IT operations to reset passwords and triage tickets, in citizen and student service workflows to answer requests and update records and in security operations to investigate alerts and recommend or trigger response actions.

In many environments, these shadow agents can be created in days and have access that rivals a full admin. With modern attack patterns, the risk becomes operational through unauthorized actions, secrets misuse and hidden escalation paths at machine speed.

Join us to learn how to govern agentic AI with an identity-first approach. We will share a practical blueprint to:

Get prescriptive instructions to remediate the risk with Zero Standing Privilege and Just-in-Time access without breaking mission workflows
Record privileged activity to create audit-ready evidence, plus guidance that can terminate sessions and revoke access instantly
Expose hidden Paths to Privilege for full visibility to see the agents that create the greatest blast radius
Discover and classify AI agents as non-human identities