AI Governance establishes policies, controls, and oversight mechanisms to ensure that artificial intelligence systems are secure, ethical, compliant, and risk-aware throughout their lifecycle.
The assessment and framework cover AI model development, data usage, access controls, decision transparency, bias management, monitoring, and accountability. It ensures AI systems are governed in a way that aligns with organizational values, legal obligations, and risk tolerance.

AI Governance also addresses risks related to data privacy, model manipulation, unauthorized use, and unintended business or ethical impacts.