Guide to AI for Cybersecurity
by Muthu Ramachandran
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ISBN: • Publisher: Springer Nature Switzerland • Year: 2026
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This comprehensive textbook bridges the gap between artificial intelligence theory and practical cybersecurity applications through 18 chapters organized around an innovative detection, response, prediction, and prevention (DRPP) framework. Drawing from recent high-impact incidents-including the 2025 Collins Aerospace cyberattack, the Marks & Spencer ransomware attack, and the Co-op data breach -readers progress from foundational concepts to advanced implementations, gaining hands-on experience with production-ready code examples, real-world case studies, and comprehensive deployment guidance for AI-powered security solutions.
Folder: Guide To AI For Cybersecurity Principles Frameworks And Practical Implementation
Format: EPUB
Total Size: 89.73 MB
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