{"product_id":"securing-autonomous-agents-practical-defenses-for-llm-based-systems-prompt-injection-memory-poisoning-tool-orchestration-red-teaming-9798267377737","title":"Securing Autonomous Agents: Practical Defenses for LLM-Based Systems Prompt Injection, Memory Poisoning, Tool Orchestration \u0026 Red Teaming","description":"\u003cp\u003e • Author(s): Andrew Mori\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Expert Systems\u003c\/p\u003e\u003cp\u003eAs artificial intelligence evolves from passive models into \u003cb\u003eautonomous agents\u003c\/b\u003e, the rules of security and trust are being rewritten. Large Language Models (LLMs) are no longer just answering questions-they're \u003cb\u003ereasoning, recalling, adapting, and taking actions\u003c\/b\u003e in the real world. This shift unlocks enormous potential for developers and enterprises, but it also introduces \u003cb\u003eunprecedented security challenges\u003c\/b\u003e.\u003cbr\u003e\u003cb\u003eSecuring Autonomous AI Agents\u003c\/b\u003e is your complete guide to understanding and protecting next-generation LLM agents against today's and tomorrow's threats. Written for \u003cb\u003eAI engineers, security architects, DevSecOps leaders, and responsible AI practitioners\u003c\/b\u003e, this book delivers both \u003cb\u003estrategic insights and hands-on techniques\u003c\/b\u003e to safeguard your autonomous systems.\u003cbr\u003eInside, you'll discover how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eModel real-world threats\u003c\/b\u003e for autonomous LLMs using frameworks like STRIDE, ATT\u0026amp;CK, and AI-specific taxonomies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDefend against prompt injection, memory poisoning, role escalation, and adversarial inputs\u003c\/b\u003e that exploit agent reasoning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDesign schema-bound prompts, gated tool orchestration, and multi-step safety checks\u003c\/b\u003e to prevent plan drift and rogue actions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSecure agent memory\u003c\/b\u003e with integrity validation, anomaly detection, and write-controls to block hallucinated recall.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEmbed layered defenses\u003c\/b\u003e inside the reasoning loop with policy enforcement, intent modeling, and safety critics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eApply adversarial red teaming and continuous simulation\u003c\/b\u003e to test and harden agent behavior before deployment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAlign with compliance standards\u003c\/b\u003e including NIST AI RMF, OWASP GenAI Top 10, ISO\/IEC 42001, and the EU AI Act.\u003c\/li\u003e\n\u003c\/ul\u003eWhether you're building \u003cb\u003eautonomous research agents, customer support copilots, financial AI assistants, or real-world workflow orchestration systems\u003c\/b\u003e, this book equips you with the tools and patterns to ensure your agents are \u003cb\u003epowerful, safe, and trustworthy\u003c\/b\u003e.\u003cbr\u003eThe future of AI isn't just about \u003cb\u003esmarter models\u003c\/b\u003e-it's about \u003cb\u003esecure and resilient agents\u003c\/b\u003e. Start building them today.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779161276567,"sku":"9798267377737","price":1777.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798267377737.webp?v=1778033910","url":"https:\/\/atlanticbooks.com\/products\/securing-autonomous-agents-practical-defenses-for-llm-based-systems-prompt-injection-memory-poisoning-tool-orchestration-red-teaming-9798267377737","provider":"Atlantic Books","version":"1.0","type":"link"}