Introducing The Identity And Access Gaps In The Age Of Autonomous AI Survey Report
Security Boulevard, Tuesday, March 24th, 2026
Enterprise security teams have long operated with a basic expectation: When something happens in a system, you can trace it back to a known identity. That no longer holds.
AI agents are now part of that equation, operating inside production environments while relying on identity and access models built for users and service accounts. The result is a growing gap between how access is granted and how it is actually used.
In practice, agents are rarely assigned a distinct identity. They operate under shared service accounts, workload identities, or human credentials. This allows teams to move quickly, but it weakens the link between identity and action. When an action is taken, the system may be able to confirm that it was authorized, but in many cases it is difficult to determine whether it was initiated by a person or an agent without additional context.