Your RBAC, PAM, SIEM, and MFA were all built for human actors. AI agents are not human. Here is the architectural gap that most engineering teams do not find until something breaks.
Your compliance audit passed. Your access controls are clean. Your SIEM is not throwing alerts.
And yet, your AI agent just sent a batch of customer records somewhere it was never supposed to go.
This is not a model failure. It is an architecture failure.
I have seen this pattern multiple times now across different types of enterprise deployments. The security setup looks solid on paper. Everything checks out when you run it against a human actor model. And then an AI agent enters the picture and the whole framework quietly stops working, because every layer of it was designed around one assumption: a person is always making the decision.
