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Beschreibung
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.
Assessing Threats, Risks, and Vulnerabilities
Details
| Verlag | Mercury Learning and Information |
| Ersterscheinung | 08. November 2024 |
| Maße | 22.9 cm x 17.8 cm x 1.4 cm |
| Gewicht | 434 Gramm |
| Format | Softcover |
| ISBN-13 | 9781501523243 |
| Auflage | 1. Auflage |
| Seiten | 252 |