Red Teaming AI: Attacking & Defending Intelligent Systems

A new security battleground has emerged: malicious actors are exploiting artificial intelligence in unprecedented ways. From poisoning training data to fooling models with adversarial inputs, the threats to machine learning systems are evolving every day. If you're an AI practitioner, cybersecurity professional, or red teamer on the front lines of this fight, you need to stay a step ahead. Red Teaming AI is the comprehensive guide to doing exactly that – helping you anticipate, attack, and fortify your AI systems before criminals can.

Written by a veteran AI security leader, Red Teaming AI blends cutting-edge research with real-world experience. It provides a 360° view of how to attack and defend modern machine learning systems, bridging the gap between theoretical threats and practical defenses. Inside this guide, you'll discover how to:

• Identify and exploit AI vulnerabilities across the machine learning lifecycle – from poisoned datasets and adversarial examples to prompt injection attacks on generative models – so you can see exactly how real adversaries target your systems.
• Implement strong defenses to mitigate these threats, using best practices to secure training data, model architectures, and deployment pipelines (plus monitoring and detection techniques to catch attacks in real time).
• Conduct structured AI red team exercises step by step, using threat modeling and attack simulations to systematically probe your AI systems the same way an attacker would – uncovering weaknesses before they can be abused.
• Achieve system-level resilience by applying security-by-design principles. Build AI models and infrastructure that can withstand advanced attacks and quickly recover, ensuring reliable outcomes even under duress.

This book doesn’t just present theory – it’s packed with hands-on tactics, case studies, and actionable advice that you can apply immediately. Each chapter translates complex concepts into clear guidance, so you can start securing your models from day one. And the journey doesn’t end with the book itself: Red Teaming AI is part of a growing toolkit. The author will be releasing companion lab guides and open-source tools soon, allowing you to practice these techniques and keep up with emerging AI threats as they evolve.

For anyone on the offensive or defensive side of AI security, Red Teaming AI is an invaluable roadmap to staying ahead of attackers. Don’t wait for an incident to strike. Buy now and start securing your AI systems.