AI Security and Audit Management is an authoritative reference guide developed for professionals, researchers, and practitioners seeking a rigorous and practical understanding of artificial intelligence security and audit practices. The book systematically examines contemporary AI security threats, governance challenges, risk management considerations, and audit methodologies across the AI system lifecycle. Grounded in real-world industry challenges, it translates complex technical, regulatory, and ethical concepts into structured, actionable frameworks aligned with emerging global standards and compliance expectations.

Designed as both a professional reference and a certification-oriented study guide, this book supports candidates preparing for AI security and AI audit certifications offered by leading institutions. Its academically grounded yet practice-driven approach makes it suitable for auditors, cybersecurity leaders, risk managers, and AI governance professionals. By combining conceptual clarity with applied insights, AI Security and Audit Management serves as a definitive resource for strengthening organizational trust, accountability, and resilience in AI-enabled environments.