
English | 2025 | ISBN: 3032021294 | 405 Pages | PDF EPUB (True) | 24 MB 9783032021298
Catergory: Business, Computer Technology, Finance, Nonfiction
This book focuses on agentic AI security, providing a comprehensive guide to the theoretical foundations and practical techniques required to secure the increasingly prevalent AI agent systems. It examines the security challenges posed by multi-agent environments and presents real-world examples of open-source frameworks and commercial solutions to mitigate these risks. It answers key questions, including how to conduct threat modeling for agentic AI systems, how to secure communication and identity within multi-agent environments, and how to leverage open-source frameworks and commercial solutions for effective security.
Contents of Download:
📌 Securing AI Agents.epub (Ken Huang, Chris Hughes) (2025) (10.3 MB)
📌 Securing AI Agents.pdf (Ken Huang) (2025) (14.26 MB)
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⭐️ Securing AI Agents Foundations Frameworks And Real World Deployment ✅ (24.56 MB)
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