Dr. Frank L. Greitzer

AI agents are moving rapidly from experimental assistants to operational actors inside the enterprise. They can retrieve data, call tools, invoke APIs, coordinate workflows, retain memory, and act under delegated authority. For insider risk professionals, that shift changes the risk equation.

Ask any insider risk professional what keeps them up at night, and the answer is rarely “lack of alerts.” It is the fear of being wrong—of targeting the wrong employee, missing the real threat, or making a decision that cannot be defended after the fact. Bias sits at the center of that risk. It influences how analysts interpret data, how leaders shape priorities, and how technology translates assumptions into automated judgments.

Insider threats occur when someone uses legitimate access (intentionally or accidentally) to harm the organization. Insider threats arise from a mix of personal vulnerabilities and organizational conditions. It’s not just who someone is—it’s what they experience and how the organization responds.