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

Aditya Sood

ISBN 10: 1501523244 / ISBN 13: 9781501523243

Edité par Mercury Learning And Information, 2024

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9781501523243

Détails bibliographiques

• Titre: Combating Cyberattacks Targeting the AI Ecosystem : Assessing Threats, Risks, and Vulnerabilities
• Éditeur: Mercury Learning And Information
• Date de parution: 2024
• Langue: anglais
• ISBN à 10 chiffres: 1501523244
• ISBN à 13 chiffres: 9781501523243
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 229 L x 178 H x 14 P (en millimètres) 229 millimètres de largeur par 178 millimètres de hauteur par 14 millimètres de profondeur
• Poids: 434 grammes

A propos de ce titre

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.

À propos de l?auteur

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.