9798243035651 - the ai security developer's playbook: actionable strategies for securing machine learning models and implementing ai-driven cyber defenses de moses, williams (5 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 33,18
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 30,53
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 34,20
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Paperback. Condición: new. Paperback. What if the biggest vulnerability in your AI system isn't in the code, but in the way it was built?The AI Security Developer's Playbook is the definitive guide for developers, engineers, and security professionals who are tasked with building, deploying, and defending intelligent systems. In… a world where AI drives everything from critical infrastructure to financial decisions, security can no longer be an afterthought-it must be engineered from the ground up.This book arms you with actionable, hands-on strategies to secure machine learning models and implement AI-driven cyber defenses. Unlike theoretical or compliance-focused guides, this playbook translates cutting-edge research into practical engineering steps you can implement immediately. You'll learn how to: Harden models against adversarial attacks, data poisoning, and model theft.Architect secure LLM applications to resist prompt injection, jailbreaking, and data leakage.Integrate security into every phase of the AI/ML lifecycle-from data pipeline to production deployment.Leverage AI itself as a defensive tool for threat detection, anomaly hunting, and automated response.Operationalize security with frameworks like MITRE ATLAS, OWASP Top 10 for LLMs, and NIST AI RMF.Structured as a progressive framework, the book moves from foundational concepts to advanced techniques, complete with real-world case studies, tool deep dives, and ready-to-use code examples. Whether you're defending existing AI systems or building new ones, this playbook provides the proven methods, architectural patterns, and developer-first mindset needed to stay ahead in the evolving arms race of AI security.Stop treating AI security as a checklist. Start building systems that are resilient, trustworthy, and secure by design. Your role as an AI Security Developer starts here-turn the page and build with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 34,91
Envío por EUR 43,25Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. What if the biggest vulnerability in your AI system isn't in the code, but in the way it was built?The AI Security Developer's Playbook is the definitive guide for developers, engineers, and security professionals who are tasked with building, deploying, and defending intelligent systems. In… a world where AI drives everything from critical infrastructure to financial decisions, security can no longer be an afterthought-it must be engineered from the ground up.This book arms you with actionable, hands-on strategies to secure machine learning models and implement AI-driven cyber defenses. Unlike theoretical or compliance-focused guides, this playbook translates cutting-edge research into practical engineering steps you can implement immediately. You'll learn how to: Harden models against adversarial attacks, data poisoning, and model theft.Architect secure LLM applications to resist prompt injection, jailbreaking, and data leakage.Integrate security into every phase of the AI/ML lifecycle-from data pipeline to production deployment.Leverage AI itself as a defensive tool for threat detection, anomaly hunting, and automated response.Operationalize security with frameworks like MITRE ATLAS, OWASP Top 10 for LLMs, and NIST AI RMF.Structured as a progressive framework, the book moves from foundational concepts to advanced techniques, complete with real-world case studies, tool deep dives, and ready-to-use code examples. Whether you're defending existing AI systems or building new ones, this playbook provides the proven methods, architectural patterns, and developer-first mindset needed to stay ahead in the evolving arms race of AI security.Stop treating AI security as a checklist. Start building systems that are resilient, trustworthy, and secure by design. Your role as an AI Security Developer starts here-turn the page and build with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
