Combating Cyberattacks Targeting the AI Ecosystem: Assessing Threats, Risks, and Vulnerabilities
Author: Aditya K. Sood PhD (Author)
Publisher finelybook 出版社: Mercury Learning and Information
Publication Date 出版日期: 2024-10-30
Language 语言: English
Print Length 页数: 234 pages
ISBN-10: 1501523244
ISBN-13: 9781501523243
Book Description
By finelybook
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 secureLLMs, 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 moderndigital defense strategies. The book is a comprehensive resource for IT professionals, business leaders, and cybersecurity experts for understanding and defending against AI-driven cyberattacks. FEATURES:
- Includes real-world case studies with detailed examples of AI-centric attacks and defense mechanisms
- Features hands-on security assessments with practical techniques for evaluating the security of AI systems
- Demonstrates advanced defense strategies with proven methods to protect LLMs, GenAI applications, and the infrastructure
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. 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.
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Formats: PDF, EPUB | 20 MB | 2024-10-16
