This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks.
Authored by security expert Paul Zenker, this book explores the critical aspects of securing GenAI systems across their lifecycle – design, development and operation. Through numerous practical examples, detailed illustrations of threat scenarios and application architectures, readers will gain a comprehensive understanding of potential risks. Step-by-step instructions cover techniques such as prompt injections, jailbreaks and other attack vectors, equipping readers with the skills to anticipate and mitigate threats effectively.
This resource is ideal for developers, security professionals, AI researchers and organizations working with generative AI technologies. This book offers the tools and knowledge needed to create systems that can withstand sophisticated attacks in today’s high-stakes digital landscape.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Paul Zenker is a security consultant and hacker by heart. He started his career at SAP in Pentesting and Red Teaming. With the recent advancements, he became very interested in AI Security from an attacker’s perspective and gave many talks on that topic at international conferences. He now works for KPMG consulting clients in the financial sector about cybersecurity and AI security and safety.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks.Authored by security expert Paul Zenker, this book explores the critical aspects of securing GenAI systems across their lifecycle design, development and operation. Through numerous practical examples, detailed illustrations of threat scenarios and application architectures, readers will gain a comprehensive understanding of potential risks. Step-by-step instructions cover techniques such as prompt injections, jailbreaks and other attack vectors, equipping readers with the skills to anticipate and mitigate threats effectively.This resource is ideal for developers, security professionals, AI researchers and organizations working with generative AI technologies. This book offers the tools and knowledge needed to create systems that can withstand sophisticated attacks in todays high-stakes digital landscape. This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781041213284
Quantità: 1 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Hardcover. Condizione: new. Hardcover. This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks.Authored by security expert Paul Zenker, this book explores the critical aspects of securing GenAI systems across their lifecycle design, development and operation. Through numerous practical examples, detailed illustrations of threat scenarios and application architectures, readers will gain a comprehensive understanding of potential risks. Step-by-step instructions cover techniques such as prompt injections, jailbreaks and other attack vectors, equipping readers with the skills to anticipate and mitigate threats effectively.This resource is ideal for developers, security professionals, AI researchers and organizations working with generative AI technologies. This book offers the tools and knowledge needed to create systems that can withstand sophisticated attacks in todays high-stakes digital landscape. This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781041213284
Quantità: 1 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 408730082
Quantità: 3 disponibili
Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. Codice articolo 26405472829
Quantità: 3 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9781041213284
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9781041213284
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Da: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condizione: new. Hardcover. This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks.Authored by security expert Paul Zenker, this book explores the critical aspects of securing GenAI systems across their lifecycle design, development and operation. Through numerous practical examples, detailed illustrations of threat scenarios and application architectures, readers will gain a comprehensive understanding of potential risks. Step-by-step instructions cover techniques such as prompt injections, jailbreaks and other attack vectors, equipping readers with the skills to anticipate and mitigate threats effectively.This resource is ideal for developers, security professionals, AI researchers and organizations working with generative AI technologies. This book offers the tools and knowledge needed to create systems that can withstand sophisticated attacks in todays high-stakes digital landscape. This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781041213284
Quantità: 1 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. Codice articolo 18405472823
Quantità: 3 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781041213284
Quantità: Più di 20 disponibili
Quantità: Più di 20 disponibili