“Enterprises did not enter a machine identity crisis because of agentic AI. They entered it years ago through service accounts, embedded API keys, long lived tokens, and automation credentials that were created to keep systems moving and then quietly forgotten,” he says. “What agents change is velocity and reach. They inherit trust and then operationalize it at machine speed. A legacy identity that once represented a contained risk now becomes an execution layer across systems, vendors, and workflows.”
Gogia adds: “The most dangerous assumption in enterprise security today is that valid identity implies safe behavior. In machine-driven environments, credentials are often correct and activity is authorized, yet outcomes are harmful. Machines do not follow joiner-mover-lever models. They do not pause for approvals. They operate continuously and propagate actions automatically.”
As a result, decision-making agents, layered into operations, achieve a rate of action that “collapses the window for detection,” he says. “The failure shifts from prevention to detection lag. By the time humans understand what happened, the agent already did it.”
