AI assuranceAI Audit Scope and Criteria
AI audit scope defines the systems, life-cycle stages, data, decisions, vendors, locations, and stakeholders included in an engagement, while audit criteria define the requirements used to judge them.
AI assuranceAI Control Design Effectiveness
AI control design effectiveness asks whether a control, as documented and configured, is capable of preventing, detecting, or correcting the risk it was selected to address.
AI controlsAI Control Monitoring
AI control monitoring observes whether preventive, detective, and corrective controls remain active, correctly configured, sufficiently covered, and effective as systems change.
AI assuranceAI Control Operating Effectiveness
AI control operating effectiveness evaluates whether an appropriately designed control performed consistently, by the right people or automation, throughout the period under review.
AI operations governanceAI Post-Deployment Monitoring
AI post-deployment monitoring measures whether a released system continues to perform, comply, and behave safely in its actual environment.
Third-party AI riskAI Procurement and Contract Controls
AI procurement and contract controls convert governance, security, privacy, performance, audit, incident, and exit requirements into enforceable supplier obligations.