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 risk managementAI Risk Reassessment Triggers
AI risk reassessment triggers are defined events that require risk assumptions, ratings, controls, and approvals to be reviewed before normal cadence.
AI risk managementAI Risk Scenario Analysis
AI risk scenario analysis describes a plausible chain from threat, vulnerability, error, misuse, or change through affected assets, stakeholders, and consequences.
AI risk managementAI Risk Treatment Tracking
AI risk treatment tracking follows mitigation, transfer, avoidance, acceptance, or pursuit decisions from approval through implementation and validation.
AI security managementAI Security Metrics Governance
AI security metrics governance defines which measures support decisions, how they are calculated, who owns them, and how limitations and thresholds are communicated.
AI architectureAI Shared-Responsibility Mapping
AI shared-responsibility mapping assigns control duties across model providers, cloud platforms, application teams, data owners, users, and oversight functions.