Red Teaming AI

AI is no longer a futuristic concept—it’s embedded in critical systems shaping finance, healthcare, infrastructure, and national security. But with this power comes unprecedented risk. <i>Red Teaming AI</i> arms you with the mindset, methodology, and tools to proactively test and secure intelligent systems before real adversaries exploit them.<br><br>Written for security professionals, researchers, and AI practitioners, this field manual goes beyond theory. You’ll learn how to map the new AI attack surface, anticipate adversarial moves, and simulate real-world threats to uncover hidden vulnerabilities.<br><br>You’ll Learn How To:<br><ul><li>Think in graphs, not checklists: trace attack paths through interconnected AI components, data pipelines, and human interactions</li><li>Poison the well: explore how adversaries corrupt training data to implant backdoors and erode model integrity</li><li>Fool the oracle: craft evasion attacks that manipulate AI perception at decision time</li><li>Hijack conversations: execute prompt injection attacks that turn Large Language Models into insider threats</li><li>Steal the brain: probe for model extraction and privacy attacks that compromise valuable IP</li><li>Conduct full-spectrum campaigns: use the STRATEGEMS framework and the AI Kill Graph to plan, execute, and report professional-grade red team engagements</li></ul><br>Traditional security methods can’t keep up with adversarial AI. From manipulated financial agents to compromised autonomous vehicles, real-world failures have already caused billions in losses and threatened lives. <i>Red Teaming AI</i> equips you to meet this challenge with practical techniques grounded in real attack scenarios and cutting-edge research.