Designing an Actionable AI Risk Register

9/15/2025

An effective AI risk register links each risk to data assets, model families, business processes, and existing mitigations. We score via blended (impact * likelihood * detectability gap) and track residual risk trend over time.

Include lifecycle stage tagging (training, evaluation, deployment, monitoring) to target control investments precisely.


← Back to Insights