What is an AI Audit?
An AI audit is a comprehensive assessment covering: result quality and reliability, data security, regulatory compliance (AI Act, GDPR), decision transparency, attack and manipulation resistance, and bias risk.
When is an audit required?
From August 2, 2026, the AI Act mandates audits for "high-risk" AI systems — including recruitment, credit scoring, healthcare, and public administration. Even without legal obligation, an audit is best practice for AI risk management.
Enterprise audit scope
A professional AI audit covers: inventory of models and datasets, quality testing (accuracy, precision, recall), security assessment (red teaming, prompt injection), regulatory compliance verification, bias and fairness analysis, and model lifecycle management process evaluation.