AI engineering assuranceAI Configuration Reproducibility
AI configuration reproducibility means an authorized team can recreate the relevant model build or runtime behavior from recorded code, data references, parameters, dependencies, prompts, and infrastructure settings.
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 governanceAI Governance Roles and Accountability
AI governance roles assign decision rights and obligations across executives, business owners, developers, data stewards, security, privacy, legal, risk, and users.
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.
AI risk managementAI Risk Appetite Statement
An AI risk appetite statement describes the types and amount of AI-related risk an organization is willing to pursue or retain in support of its objectives.