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Paperback AI Can Hacked: Red vs Blue Team Playbooks with AI: A Comprehensive Guide to Adversarial Security Testing and Defense with Artificial Intelligence Inte Book

ISBN: B0FSZH72BX

ISBN13: 9798267279727

AI Can Hacked: Red vs Blue Team Playbooks with AI: A Comprehensive Guide to Adversarial Security Testing and Defense with Artificial Intelligence Inte

AI Can Hacked: Red vs Blue Team Playbooks with AI represents a revolutionary approach to adversarial security testing and defense education, combining comprehensive red team and blue team training with cutting-edge AI integration. This specialized book in the AI Can Hacked Master Series provides expert-level training in offensive security techniques, defensive strategies, and AI-powered playbook development, enhanced with artificial intelligence for automated attack generation, intelligent threat detection, and predictive security operations. The book features 15 comprehensive chapters covering everything from red team attack techniques to blue team defense strategies and AI-powered adversarial testing. You'll master red team operations, blue team defense, AI-enhanced threat hunting, automated incident response, and discover how AI can revolutionize your adversarial security capabilities. The included professional lab environment uses Docker containers to provide a safe, isolated testing environment with red team infrastructure, blue team platforms, target environments, and AI-powered security tools. Each chapter includes hands-on exercises, real-world scenarios, and AI co-pilot prompts for enhanced learning. The book covers red team methodologies, blue team operations, AI-enhanced playbook development, adversarial testing frameworks, threat hunting, incident response automation, social engineering, and physical security testing. With 8 comprehensive laboratory exercises, 600+ production-ready code examples, and 140+ AI co-pilot prompts, this book provides the most advanced red vs blue team training available. Perfect for red team professionals, blue team defenders, AI practitioners, cybersecurity analysts, students, and anyone interested in AI-enhanced adversarial security testing and defense.

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