Microsoft Purview: Information Protection – Auto-labeling Simulation Evaluation

The Simulation Grader helps admins understand and improve auto‑labeling accuracy before enforcing a policy. When enabled during simulation, matched items are evaluated by an AI-powered grader to determine whether each match is a true positive or false positive, along with an explanation of why the content matched. The results roll up into clear policy‑level accuracy insights and file‑level evaluation details, giving admins confidence to refine conditions, upgrade to smarter classifiers, and move policies to enforcement with greater trust.