AI policyAI Acceptable Use Policy
An AI acceptable use policy defines approved, restricted, and prohibited uses of AI services, models, data, accounts, and generated content.
AI change assuranceAI Change Evidence Package
An AI change evidence package assembles the artifacts needed to understand, approve, reproduce, and later audit a model, data, prompt, configuration, or integration change.
AI data securityAI Data Lifecycle Security
AI data lifecycle security protects information during collection, labeling, storage, use, sharing, retention, and deletion.
AI resilienceAI Deactivation and Contingency Controls
AI deactivation and contingency controls let an organization pause, limit, localize, roll back, or replace an AI capability when risk exceeds tolerance.
AI operational resilienceAI Operational Readiness Review
An AI operational readiness review verifies that ownership, support, monitoring, incident response, continuity, capacity, user guidance, and rollback are ready before production use.
AI risk managementAI Risk Tolerance Thresholds
AI risk tolerance thresholds translate risk appetite into measurable limits for performance, safety, privacy, bias, security, availability, cost, or human-impact indicators.