The AI Red Teaming - Adversarial AI Testing

AI systems are becoming more powerful, more autonomous, and more deeply woven into society. But with great capability comes great risk. This book equips readers with the mindset, methods, and practical tools needed to challenge, probe, and strengthen modern AI—before real‑world failures occur.

About the Book

AI Red Teaming: Adversarial AI Testing is a clear and accessible introductory guide to one of the most essential disciplines in contemporary AI safety. It traces the origins of red teaming, explores its transformation in the age of machine learning, and shows how these principles apply to today’s generative models, including Large Language Models (LLMs) and multimodal systems.

Through a blend of historical context, practical frameworks, and real‑world case studies, this book demystifies how vulnerabilities emerge in AI systems and how structured adversarial testing can uncover them. Readers will learn how to design red‑team exercises, evaluate model behavior under stress, navigate evolving regulatory expectations, and build safer AI pipelines from the ground up.

Who This Book Is For

This guide is written for AI developers, cybersecurity professionals, researchers, policymakers, and anyone committed to responsible AI deployment. Whether you’re implementing red‑team workflows in industry, conducting academic research on AI safety, or shaping governance frameworks, this book provides the foundational knowledge and practical insight needed to contribute meaningfully to the field.

Strengthen your systems. Challenge your assumptions. Build AI that earns trust.

About the Author

Usama Saqib received his PhD in Signal Processing from Aalborg University, Denmark. His area of interest varies with time but he finds comfort in designing digital signal processing pipelines, Artificial Intelligence systems, and Robot Audition among other topics that catches his interest.. He is an author of several academic papers including several book chapters. He is an active reviewer of International Conference on Robotics and Automation (ICRA) and International Conference on Intelligent Robots and Systems (IROS). He has over 10+ Years of industrial experience within embedded system design and firmware development where he uses his expertise in signal processing to build complex systems in audio systems, medical devices and telecommunication.