{"product_id":"generative-ai-security-shaila-rana-9781394368488","title":"Generative AI Security","description":"\u003cp\u003e\u003cb\u003eUp-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eGenerative AI Security: Defense, Threats, and Vulnerabilities \u003c\/i\u003edelivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. \u003c\/p\u003e\u003cp\u003eThe book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoretical foundations to practical applications. \u003c\/p\u003e\u003cp\u003eThe book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eGenerative AI Security: Defense, Threats, and Vulnerabilities \u003c\/i\u003ediscusses topics including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eMachine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection\u003c\/li\u003e \u003cli\u003eIntelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation\u003c\/li\u003e \u003cli\u003eDeepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity\u003c\/li\u003e \u003cli\u003eSecurity attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks\u003c\/li\u003e \u003cli\u003ePrivacy-preserving AI techniques including federated learning and homomorphic encryption\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eGenerative AI Security: Defense, Threats, and Vulnerabilities \u003c\/i\u003eis an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Shaila Rana\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1394368488\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781394368488\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-IEEE Press\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/06\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 496\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.82lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 1.06d\u003c\/p\u003e","brand":"Shaila Rana","offers":[{"title":"Hardcover","offer_id":48446976819455,"sku":"9781394368488","price":140.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_be93d7c2-a72a-4d70-9dbe-3c49c3ffc079.jpg?v=1777227998","url":"https:\/\/www.whiterainbookhouse.com\/products\/generative-ai-security-shaila-rana-9781394368488","provider":"WR Book House","version":"1.0","type":"link"}