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 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 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 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.
Agile deliveryAgile Product Vision Alignment
Agile product vision alignment connects daily prioritization and increment decisions to a shared purpose, target users, desired outcomes, constraints, and strategic direction.
Privacy engineeringAnonymization and De-identification
Anonymization and de-identification reduce the ability to associate released or shared data with a specific person, while accounting for linkage and re-identification risk.