AI agents are rapidly moving from copilots to operators.
They retrieve data, trigger workflows, and execute tasks across applications with little human oversight.
But unlike human users, AI agents don’t request access through IAM.
They inherit what already exists.

Tokens.
Service identities.
Local application accounts.
Legacy authentication paths.
Because agentic systems optimize for efficiency, they naturally choose the lowest-friction path to complete a task. In identity environments with hygiene gaps, that often means dormant accounts, over-scoped permissions, or hidden credentials embedded inside applications.
The result is a growing layer of identity dark matter - powerful identities operating outside traditional governance.
In this 15-minute session, we will explore:

Why AI agents amplify existing identity weaknesses
How automation discovers and reuses identity shortcuts
What security teams must implement now to safely adopt agentic AI
As AI moves from advisor to operator, the real challenge isn’t the model.
It’s whether your identity environment is ready for autonomous actors.