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{ "item_title" : "AI Can Hacked", "item_author" : [" Bernie Goldmann "], "item_description" : "AI Can Hacked: MITRE ATT&CK in Practice represents a revolutionary approach to cybersecurity education, combining comprehensive ATT&CK framework training with cutting-edge AI integration. This advanced book in the AI Can Hacked Master Series provides expert-level training in threat modeling, attack techniques, and defense strategies using the MITRE ATT&CK framework, enhanced with artificial intelligence for automated threat hunting, behavioral analysis, and intelligent security operations. The book features 14 comprehensive chapters covering everything from ATT&CK framework fundamentals to advanced AI-enhanced threat hunting. You'll master the complete ATT&CK framework, learn advanced threat modeling techniques, and discover how AI can revolutionize your threat analysis capabilities. The included professional lab environment uses Docker containers to provide a comprehensive ATT&CK testing environment with red team, blue team, and AI analysis platforms. Each chapter includes hands-on exercises, real-world ATT&CK scenarios, and AI co-pilot prompts for enhanced learning. The book covers ATT&CK framework structure, threat modeling methodologies, all major attack techniques, AI-enhanced threat hunting, and red vs blue team operations. With 6 comprehensive laboratory exercises, 150+ production-ready code examples, and comprehensive AI co-pilot integration, this book provides the most advanced ATT&CK and AI training available. Perfect for security analysts, threat hunters, red team operators, blue team defenders, and anyone interested in mastering the MITRE ATT&CK framework with AI enhancement GoldmannLLC.com", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/826/693/9798266938366_b.jpg", "price_data" : { "retail_price" : "49.99", "online_price" : "49.99", "our_price" : "49.99", "club_price" : "49.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
AI Can Hacked|Bernie Goldmann

AI Can Hacked : MITRE ATT&CK in Practice: Mastering Threat Modeling, Attack Techniques, and Defense Strategies with AI

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Overview

AI Can Hacked: MITRE ATT&CK in Practice represents a revolutionary approach to cybersecurity education, combining comprehensive ATT&CK framework training with cutting-edge AI integration. This advanced book in the AI Can Hacked Master Series provides expert-level training in threat modeling, attack techniques, and defense strategies using the MITRE ATT&CK framework, enhanced with artificial intelligence for automated threat hunting, behavioral analysis, and intelligent security operations. The book features 14 comprehensive chapters covering everything from ATT&CK framework fundamentals to advanced AI-enhanced threat hunting. You'll master the complete ATT&CK framework, learn advanced threat modeling techniques, and discover how AI can revolutionize your threat analysis capabilities. The included professional lab environment uses Docker containers to provide a comprehensive ATT&CK testing environment with red team, blue team, and AI analysis platforms. Each chapter includes hands-on exercises, real-world ATT&CK scenarios, and AI co-pilot prompts for enhanced learning. The book covers ATT&CK framework structure, threat modeling methodologies, all major attack techniques, AI-enhanced threat hunting, and red vs blue team operations. With 6 comprehensive laboratory exercises, 150+ production-ready code examples, and comprehensive AI co-pilot integration, this book provides the most advanced ATT&CK and AI training available. Perfect for security analysts, threat hunters, red team operators, blue team defenders, and anyone interested in mastering the MITRE ATT&CK framework with AI enhancement GoldmannLLC.com

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Details

  • ISBN-13: 9798266938366
  • ISBN-10: 9798266938366
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 11 x 8.5 x 0.89 inches
  • Shipping Weight: 2.22 pounds
  • Page Count: 438

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