Secure AI Agent Architecture

Source: Dev.to

Introduction

I’ve started writing an open book on the architecture of secure AI agents.
The goal is to build a practical engineering reference — not a collection of flashy demos, but a structured guide to production‑grade agent systems: control planes, policy boundaries, tool execution, memory, observability, evaluations, approvals, and governance.

First Chapters

• English:
• Chinese:

Repository

The source code and content are hosted on GitHub:

Call for Feedback

There is a lot of excitement around agents, but far less shared engineering guidance on how to build them safely and operate them reliably in production. This project is an attempt to help close that gap.

I’d genuinely appreciate thoughtful feedback from the community:

• What feels solid?
• What is missing?
• What seems debatable?
• What should be improved?
• Which operational or security practices deserve more attention?

If this topic is close to your work, I’d be glad to hear your critique, ideas, counterexamples, and contributions.