“Enterprises didn’t enter a machine identification disaster due to agentic AI. They entered it years in the past by means of service accounts, embedded API keys, lengthy lived tokens, and automation credentials that had been created to maintain techniques transferring after which quietly forgotten,” he says. “What brokers change is velocity and attain. They inherit belief after which operationalize it at machine pace. A legacy identification that when represented a contained danger now turns into an execution layer throughout techniques, distributors, and workflows.”
Gogia provides: “Probably the most harmful assumption in enterprise security in the present day is that legitimate identification implies secure conduct. In machine-driven environments, credentials are sometimes appropriate and exercise is permitted, but outcomes are dangerous. Machines don’t observe joiner-mover-lever fashions. They don’t pause for approvals. They function repeatedly and propagate actions routinely.”
Consequently, decision-making brokers, layered into operations, obtain a charge of motion that “collapses the window for detection,” he says. “The failure shifts from prevention to detection lag. By the point people perceive what occurred, the agent already did it.”
