Combating Cyberattacks Targeting the AI Ecosystem

Aditya Sood

ISBN 10: 1501523244 / ISBN 13: 9781501523243

Published by Mercury Learning And Information, De Gruyter Nov 2024, 2024

About this Item

Neuware -This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure.Walter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 252 pp. Englisch.

Seller Inventory # 9781501523243

Bibliographic Details

• Title: Combating Cyberattacks Targeting the AI Ecosystem
• Publisher: Mercury Learning And Information, De Gruyter Nov 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 1501523244
• ISBN 13: 9781501523243
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 178H x 14D millimeters 229 millimeters width by 178 millimeters height by 14 millimeters depth
• Weight: 434 grams

About this title

Synopsis

This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure. The book highlights hands-on technical approaches to detect security flaws in AI systems and applications utilizing the intelligence gathered from real-world case studies. Lastly, the book presents a very detailed discussion of the defense mechanisms and practical solutions to secure LLMs, GenAI applications, and the AI infrastructure. The chapters are structured with a granular framework, starting with AI concepts, followed by practical assessment techniques based on real-world intelligence, and concluding with required security defenses. Artificial Intelligence (AI) and cybersecurity are deeply intertwined and increasingly essential to modern digital defense strategies. The book is a comprehensive resource for IT professionals, business leaders, and cybersecurity experts for understanding and defending against AI-driven cyberattacks.

About the Author

Aditya K. Sood (PhD) is a cybersecurity practitioner with more than 16 years of experience working with cross-functional teams, management, and customers to create the best-of-breed information security experience. His articles have appeared in magazines and journals, including IEEE, Elsevier, ISACA, Virus Bulletin, and USENIX, and he is the author of Empirical Cloud Security 2/E (Mercury Learning) and Targeted Cyber Attacks (Syngress). He has presented his research at industry leading security conferences such as Black Hat, RSA, APWG, DEFCON, Virus Bulletin, and others.