Combating Cyberattacks Targeting the AI Ecosystem: Assessing Threats, Risks, and Vulnerabilities

by Aditya Sood

Overview

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.

Product Details

ISBN-13:	9781501520556
Publisher:	De Gruyter
Publication date:	11/18/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	234
File size:	13 MB
Note:	This product may take a few minutes to download.
Age Range:	18 Years

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.

Table of Contents

1: Introduction to AI: LLMs, GenAI Applications and the AI Infrastructure
2: The AI Trust, Compliance, and Security
3: AI Threat Landscape: Dissecting the Risks and Attack Vectors
4: Threats and Attacks Targeting the AI Ecosystem: Real-world Case Studies
5: Security Assessment of LLMs, GenAI Applications, and the AI Infrastructure
6: Defending LLMs, GenAI Applications, and the AI Infrastructure Against Cyberattacks
Appendix: Machine Learning / AI terms
Index

Editorial Reviews

Aditya K. Sood's book, Combating Cyberattacks Targeting the AI Ecosystem: Assessing Threats, Risks, and Vulnerabilities, addresses the pressing security challenges unique to AI systems. As AI becomes increasingly integrated into various sectors, it becomes a prime target for sophisticated cyber threats. Sood explores the vulnerabilities within the AI ecosystem, mainly how attackers exploit weaknesses in large language models (LLMs), generative AI (GenAI) applications, and AI infrastructure. This highlights the critical need for proactive security measures. The book offers technical insights and real-world case studies, making it an essential guide for security professionals who aim to protect AI assets. Sood stresses the importance of developing strong and adaptive defenses, detailing methods for detecting and mitigating adversarial tactics, data poisoning, and model tampering. By discussing practical strategies and forward-looking security frameworks Combating Cyberattacks Targeting the AI Ecosystem equips readers with the tools to anticipate and counter emerging AI-specific threats, presenting a valuable resource in the field of cybersecurity and preparing them for future challenges.

Renuka Nadkarni