A practical framework for evaluating AI models against business requirements instead of benchmark leaderboards: defining requirements, structured testing, model tiering, and a re-evaluation cadence.
Why shadow AI spreads faster than shadow IT, the real risks beyond data leakage, how to actually discover it, and how to respond without driving usage further underground.