Mastering Security AI Agents: Design, Build, and Protect Autonomous LLM Agents with Agentic Ai, Zero Trust, Langgraph, and Enterprise-Grade Threat Def
Mastering Security AI Agents is the definitive guide for engineers, architects, and cybersecurity professionals seeking to design, build, and protect autonomous AI systems in the real world. With the explosive growth of agentic AI and autonomous LLM agents, securing these systems has become a critical enterprise challenge-and this book gives you the tools and insights to meet it head-on.
Inside, you'll discover how to:
Architect secure, production-grade autonomous LLM agents using Agentic AI principles
Apply Zero Trust frameworks to AI agent workflows, identity, and access boundaries
Design and defend multi-agent systems with LangGraph orchestration
Mitigate advanced threats, including prompt injection, memory poisoning, and tool abuse
Implement runtime safeguards, monitoring, and incident response strategies
Ensure enterprise compliance and governance while scaling AI systems securely
This book combines theoretical depth, practical guidance, and hands-on examples. Each chapter walks you step-by-step, from foundational concepts to production-ready implementations, including Python examples, real-world case studies, and actionable best practices.
Whether you are a developer, security engineer, or AI architect, Mastering Security AI Agents empowers you to:
Build intelligent agents that are autonomous but safe
Operate confidently in complex, enterprise-scale environments
Stay ahead of emerging threats in the rapidly evolving AI landscape
Stop experimenting with unprotected AI agents. Learn the strategies, frameworks, and architectures that the top AI engineers and security professionals rely on.
Take control of your AI systems. Ensure their security, resilience, and enterprise trustworthiness. This book is your complete roadmap.
Customer Reviews
ThriftBooks ® and the ThriftBooks ® logo are registered trademarks of Thrift Books Global, LLC
