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Artículo: AMZ-B0GDN1FR6F
AGENTIC AI SECURITY HANDBOOK: Design Patterns, Threat Models, and Defensive Controls for Autonomous LLM Agents
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Paperback
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0.38 kg
0.38 kg
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Amazon
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USA
USA
Sobre este producto
- 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 promptsThreat modeling techniques tailored specifically for autonomous agentsPrompt injection risks in multi-step reasoning and tool executionMemory poisoning, persistence attacks, and long-term state manipulationTool and API abuse, permission escalation, and unsafe tool chainingData and RAG security risks in agent-driven retrieval workflowsRuntime guardrails, policy enforcement, approval gates, and kill switchesRed-teaming, evaluation, and continuous security testing for agentsAn enterprise-grade reference architecture for secure agentic systemsHow this book is differentMost 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-orientedStructured for quick reference and reuseFocused on why controls exist, not just what they areEach section ends with checklists, failure modes, and actionable guidance you can apply immediately.Who this book is forAI and ML engineers building agentic systemsSecurity engineers responsible for AI riskPlatform and infrastructure architectsTechnical leaders deploying autonomous AI in productionIf 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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