{"product_id":"guide-to-ai-for-cybersecurity-principles-frameworks-and-practical-implementation-hardcover","title":"Guide to AI for Cybersecurity: Principles, Frameworks, and Practical Implementation - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMuthu Ramachandran\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eWith cybercrime costs exceeding $10.5 trillion annually and ransomware attacks predicted every two seconds by 2031, traditional signature-based security has reached critical breaking points. \u003cstrong\u003e\u003cem\u003eGuide to AI for Cybersecurity\u003c\/em\u003e\u003c\/strong\u003e provides the essential roadmap for harnessing artificial intelligence as a force multiplier against sophisticated, AI-powered threats.\u003c\/p\u003e 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 \u0026amp; 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. \u003cstrong\u003eTopics and features: \u003c\/strong\u003e - - - - - This essential textbook\/guide provides comprehensive coverage suitable for graduate students in computer science, cybersecurity, or AI\/ML programs, as well as cybersecurity professionals seeking to master AI-powered defense techniques. Software architects building secure AI systems, academic instructors developing AI security courses, and researchers investigating adversarial machine learning also will find the volume invaluable. \u003cstrong\u003eMuthu Ramachandran\u003c\/strong\u003e is Research Consultant at Forti5 Technologies Ltd, UK, and Visiting Professor Extraordinarius at University of South Africa.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWith cybercrime costs exceeding $10.5 trillion annually and ransomware attacks predicted every two seconds by 2031, traditional signature-based security has reached critical breaking points. \u003cstrong\u003e\u003cem\u003eGuide to AI for Cybersecurity\u003c\/em\u003e\u003c\/strong\u003e provides the essential roadmap for harnessing artificial intelligence as a force multiplier against sophisticated, AI-powered threats.\u003c\/p\u003e \u003cp\u003eThis 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 \u0026amp; 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.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTopics and features: \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e- Introduces the DRPP framework for systematically implementing AI security across the complete security lifecycle\u003c\/p\u003e - Includes complete instructor resources for flexible course adoption--PowerPoint slides, laboratory exercises, assessment questions, and implementation projects  \u003cp\u003e- Provides comprehensive coverage of machine learning (ML) for threat detection, adversarial AI defenses, and automated incident response\u003c\/p\u003e \u003cp\u003e- Integrates ethics, governance, and regulatory compliance (GDPR, CCPA, AI Act) throughout, with dedicated coverage of privacy-preserving techniques\u003c\/p\u003e \u003cp\u003e- Offers detailed guidance on integrating AI capabilities with industry standards while maintaining compliance requirements\u003c\/p\u003e \u003cp\u003eThis essential textbook\/guide provides comprehensive coverage suitable for graduate students in computer science, cybersecurity, or AI\/ML programs, as well as cybersecurity professionals seeking to master AI-powered defense techniques. Software architects building secure AI systems, academic instructors developing AI security courses, and researchers investigating adversarial machine learning also will find the volume invaluable.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eMuthu Ramachandran\u003c\/strong\u003e is Research Consultant at Forti5 Technologies Ltd, UK, and Visiting Professor Extraordinarius at University of South Africa. \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eProfessor Muthu Ramachandran is currently a Cybersecurity, AI, and Blockchain Research\u003cbr\u003eConsultant at Forti5 Technologies, UK, and a Professor Extraordinarius at University of South Africa\u003cbr\u003e(UNISA). Muthu is a certified IASME CE, ICA, IoT Cyber \u0026amp; IoT Assurance professional with\u003cbr\u003eextensive experience spanning academia, industry research, and standards development.\u003cbr\u003ePreviously, Muthu served as Associate Professor at Leeds Beckett University for 18 years and held\u003cbr\u003evisiting professorships at Indian Institute of Technology (ISM) Dhanbad and University of\u003cbr\u003eSouthampton. His industrial experience includes nearly eight years at Philips Research Labs, Volantis\u003cbr\u003eSystems Ltd, and DRDO Hyderabad.\u003cbr\u003eAs a Fellow of BCS, Senior Fellow of Advance HE, and Senior Member of IEEE and ACM, Muthu has\u003cbr\u003eauthored numerous books, book chapters, journal articles, and conference papers. He has chaired and\u003cbr\u003edelivered keynote speeches at major conferences including SE-CLOUD, SECE, IoTBDS, and DSC.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 772\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.69 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 11, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":67551704252664,"sku":"9783032173669","price":137.68,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0698\/5629\/7208\/files\/zx_1G2uh2p9783032173669.webp?v=1790801618","url":"https:\/\/barneysbooksellers.com\/products\/guide-to-ai-for-cybersecurity-principles-frameworks-and-practical-implementation-hardcover","provider":"Barney's Book Sellers","version":"1.0","type":"link"}