Most AI risk stories start with hackers and end with technical controls. This one doesnโt. It starts with your highest performers on a deadline, reaching for tools you never approved, and handing over the data you rely on to explain what happened when things go wrong. Shadow AI isnโt a rogue-employee problem; itโs a culture and incentives problem. This article explores how that gap opens and what leaders need to change to regain visibility.
