AI agents need their own identity before they need a gateway

The article argues that autonomous AI agents create security risks beyond prompt injection, data leakage, and model flaws because they can authenticate legitimately and then act across enterprise tools with limited oversight. It says traditional identity, MFA, RBAC, and zero trust controls establish access, but do not ensure runtime trust once an agent begins making autonomous decisions.

As AI agents move from assistants to workflow operators, enterprises will need security models that treat agents as accountable software actors with their own identities, permissions, and behavioral monitoring. This points to a broader shift from static access control toward continuous verification of agent actions across applications and APIs.