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Agentic AI Security Handbook: Design Patterns, Threat Models, and Defensive Controls for Autonomous LLM Agents
Paperback
General ComputersProgrammingComputer Security
Publisher: Independently Published
Published: Jan 1 2026
Pages: 226
Weight: 0.68
Height: 0.48 Width: 6.00 Depth: 9.00
Language: English
Agentic AI Security Handbook is a practical, engineer-focused reference for securing autonomous LLM agents in real-world environments. It goes beyond theory to address the concrete risks introduced by agentic systems prompt injection inside planning loops, memory poisoning across sessions, tool abuse, data exfiltration, and uncontrolled execution.
This book is written for builders who need clear patterns, threat models, and defensive controls not abstract discussions or vendor marketing.
What this handbook coversHow agentic architectures expand the attack surface beyond prompts
Threat modeling techniques tailored specifically for autonomous agents
Prompt injection risks in multi-step reasoning and tool execution
Memory poisoning, persistence attacks, and long-term state manipulation
Tool and API abuse, permission escalation, and unsafe tool chaining
Data and RAG security risks in agent-driven retrieval workflows
Runtime guardrails, policy enforcement, approval gates, and kill switches
Red-teaming, evaluation, and continuous security testing for agents
An enterprise-grade reference architecture for secure agentic systems
Most AI security books focus on LLMs as static components. This handbook treats AI as what it has become: an autonomous system capable of action.
Every chapter is designed to be:
Practical and implementation-oriented
Structured for quick reference and reuse
Focused on why controls exist, not just what they are
Each section ends with checklists, failure modes, and actionable guidance you can apply immediately.
Who this book is forAI and ML engineers building agentic systems
Security engineers responsible for AI risk
Platform and infrastructure architects
Technical leaders deploying autonomous AI in production
If you are designing, deploying, or securing AI agents that can reason, act, and interact with real systems, this handbook belongs on your desk.
Build smarter agents. Harden them properly. Keep control.
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