AISM AI Risk Treatment

AI risk treatment selects and implements controls to address AI service risks.

AI risk treatment is where governance becomes operational. A risk assessment without treatment does not reduce risk. In WSM, risk is reduced by improving services, so AISM risk treatment must produce service changes, controls, evidence, review routines, and corrective actions.

This topic connects AISM AI Risk Assessment, AISM Statement of Applicability, AI Service Control, Evidence Object, Corrective Action, Residual Risk, Management Review, and Continual Service Improvement.

A Management Advisor should recommend treatment actions when risk levels exceed appetite, controls are absent, evidence is weak, residual risk is unapproved, incidents recur, or HRSM/DISM inheritance is missing.