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Agentic AI Security: Build and Secure Autonomous LLM Agents with Real-World Threat Models, Prompt Controls, and Memory Safeguards
What happens when your AI agent not only answers questions — but autonomously acts, reasons, recalls, and modifies the world around it?
As large language models evolve into autonomous agents, the very foundations of software security are being rewritten. Traditional defenses no longer apply when agents reason across open-ended prompts, invoke external tools, modify persistent memory, and execute goal-driven workflows. With this new power comes an equally profound agents that drift from intent, get manipulated by adversarial inputs, or expose your organization to unseen liabilities.
Agentic AI Security is your definitive guide to securing the next generation of autonomous LLM agents. Whether you're building complex reasoning agents, integrating real-world toolchains, or deploying systems that learn and adapt over time, this book delivers a comprehensive framework to protect your systems before they go live. From prompt injection and memory poisoning to feedback loop attacks, self-modifying agents, and multimodal threat surfaces, you’ll learn how to identify vulnerabilities no static LLM security guide can cover.
Inside, you’ll discover how Map agent-specific threat models using frameworks like STRIDE for autonomous systemsArchitect schema-bound prompts, gated tool orchestration, and role conditioning to prevent plan driftImplement memory integrity safeguards, write controls, and anomaly scoring to resist hallucinated recallBuild layered defenses with safety critics, intent modeling, and policy enforcement embedded inside the reasoning loopApply real-world red teaming, adversarial testing, and continuous threat simulation to harden agents proactivelyAlign with emerging compliance frameworks including NIST AI RMF, OWASP GenAI Top 10, and the EU AI Act for auditable, enterprise-grade deployments
Whether you're an AI engineer, security architect, DevSecOps leader, or responsible AI practitioner, Agentic AI Security equips you with both the strategic understanding and the concrete technical patterns to build autonomous agents that are not only powerful—but safe, trustworthy, and resilient in the face of evolving threats.
The future of AI isn’t just smarter models. It’s safer agents. Start building them today!
As large language models evolve into autonomous agents, the very foundations of software security are being rewritten. Traditional defenses no longer apply when agents reason across open-ended prompts, invoke external tools, modify persistent memory, and execute goal-driven workflows. With this new power comes an equally profound agents that drift from intent, get manipulated by adversarial inputs, or expose your organization to unseen liabilities.
Agentic AI Security is your definitive guide to securing the next generation of autonomous LLM agents. Whether you're building complex reasoning agents, integrating real-world toolchains, or deploying systems that learn and adapt over time, this book delivers a comprehensive framework to protect your systems before they go live. From prompt injection and memory poisoning to feedback loop attacks, self-modifying agents, and multimodal threat surfaces, you’ll learn how to identify vulnerabilities no static LLM security guide can cover.
Inside, you’ll discover how Map agent-specific threat models using frameworks like STRIDE for autonomous systemsArchitect schema-bound prompts, gated tool orchestration, and role conditioning to prevent plan driftImplement memory integrity safeguards, write controls, and anomaly scoring to resist hallucinated recallBuild layered defenses with safety critics, intent modeling, and policy enforcement embedded inside the reasoning loopApply real-world red teaming, adversarial testing, and continuous threat simulation to harden agents proactivelyAlign with emerging compliance frameworks including NIST AI RMF, OWASP GenAI Top 10, and the EU AI Act for auditable, enterprise-grade deployments
Whether you're an AI engineer, security architect, DevSecOps leader, or responsible AI practitioner, Agentic AI Security equips you with both the strategic understanding and the concrete technical patterns to build autonomous agents that are not only powerful—but safe, trustworthy, and resilient in the face of evolving threats.
The future of AI isn’t just smarter models. It’s safer agents. Start building them today!
233 pages, Kindle Edition
Published July 14, 2025
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