AI assuranceAI Audit Finding Follow-Up
AI audit finding follow-up verifies that corrective actions address the root cause, operate as intended, and reduce the stated risk before a finding is closed.
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 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.
AI risk managementAI Risk Register Integration
AI risk register integration records AI risks within the enterprise risk structure rather than isolating them in project-only documents.
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 security architectureAI System Trust Boundaries
AI system trust boundaries identify where data, instructions, identities, models, tools, and authority cross between components or organizations.