Model auditing is the systematic evaluation of an AI model's behavior, performance, and compliance with ethical and regulatory standards. Audits examine bias across demographic groups, explainability of decisions, robustness to adversarial inputs, and adherence to privacy regulations. Third-party audits are increasingly required before deploying high-risk AI systems.