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Agentic AI Security for Developers: Design Safe, Trustworthy, and Resilient AI Agents with Built-In Security Controls
Paperback
Series: Agentic AI & Knowledge Graphs, Book 4
General ComputersComputer Security
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Publisher: Independently Published
Published: Dec 18 2025
Pages: 166
Weight: 0.44
Height: 0.35 Width: 5.50 Depth: 8.50
Language: English
As AI agents become more autonomous, connected, and powerful, security is no longer optional-it's foundational. Agentic AI Security for Developers is a practical, engineering-first guide to designing AI agents that are safe, controllable, and resilient in real-world environments.
This book focuses on the new security challenges introduced by agentic systems-agents that plan, reason, call tools, access data, and act on behalf of users. Instead of abstract theory, you'll learn concrete techniques for building guardrails, enforcing trust boundaries, and preventing misuse, failures, and unintended behavior.
✔ What makes agentic AI systems fundamentally different from traditional AI
✔ Core threat models for AI agents, tools, and autonomous workflows
✔ Designing secure agent architectures with clear control boundaries
✔ Preventing prompt injection, data leakage, and unauthorized tool use
✔ Managing permissions, identity, and access for AI agents
✔ Securing memory, retrieval systems, and external integrations
✔ Monitoring, logging, and auditing agent behavior
✔ Fail-safe mechanisms, rate limits, and human-in-the-loop controls
✔ Best practices for deploying trustworthy AI agents in production
Software developers building AI agents
AI application and platform engineers
Security-conscious developers and architects
Teams deploying autonomous or semi-autonomous systems
Anyone responsible for safe and reliable AI behavior
Most AI resources focus on capability. This book focuses on control. It treats agentic AI security as a first-class engineering discipline-combining software security principles with modern AI workflows.
Every chapter emphasizes practical design patterns, real attack scenarios, and defensive strategies you can apply immediately when building agent-based systems.
By the end of this book, you'll be able to design AI agents that are not only powerful-but secure, predictable, and trustworthy by design.
If you're building agentic AI systems and want to avoid costly security mistakes, Agentic AI Security for Developers is the guide you need.
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