Securing Autonomous Agents: Practical Defenses for LLM-Based Systems Prompt Injection, Memory Poisoning, Tool Orchestration & Red Teaming

By Andrew Mori

As artificial intelligence evolves from passive models into autonomous agents, the rules of security and trust are being rewritten. Large Language Models (LLMs) are no longer just answering questions-they're reasoning, recalling, adapting, and taking actions in the real world. This shift unlocks enormous potential for developers and enterprises, but it also introduces unprecedented security challenges.
Securing Autonomous AI Agents is your complete guide to understanding and protecting next-generation LLM agents against today's and tomorrow's threats. Written for AI engineers, security architects, DevSecOps leaders, and responsible AI practitioners, this book delivers both strategic insights and hands-on techniques to safeguard your autonomous systems.
Inside, you'll discover how to: Model real-world threats for autonomous LLMs using frameworks like STRIDE, ATT&CK, and AI-specific taxonomies.Defend against prompt injection, memory poisoning, role escalation, and adversarial inputs that exploit agent reasoning.Design schema-bound prompts, gated tool orchestration, and multi-step safety checks to prevent plan drift and rogue actions.Secure agent memory with integrity validation, anomaly detection, and write-controls to block hallucinated recall.Embed layered defenses inside the reasoning loop with policy enforcement, intent modeling, and safety critics.Apply adversarial red teaming and continuous simulation to test and harden agent behavior before deployment.Align with compliance standards including NIST AI RMF, OWASP GenAI Top 10, ISO/IEC 42001, and the EU AI Act.Whether you're building autonomous research agents, customer support copilots, financial AI assistants, or real-world workflow orchestration systems, this book equips you with the tools and patterns to ensure your agents are powerful, safe, and trustworthy.
The future of AI isn't just about smarter models-it's about secure and resilient agents. Start building them today.

• Format: Paperback
• Language: English
• ISBN: B0FSZ8G32Z
• ISBN13: 9798267377737
• Release Date: September 2025
• Publisher: Independently Published
• Length: 200 Pages
• Weight: 0.78 lbs.
• Dimensions: 0.4" x 7.0" x 10.0"