🚨 AI agents can reason. But should they be allowed to authorize themselves?

Recent cybersecurity reports made this question much more real.

Major U.S. banks are now reportedly detecting unauthorized third-party AI agents inside customer accounts, with some agent activity appearing to go beyond the user's original instructions.

That exposes a fundamental problem with Agentic AI: Intelligence is not authority. An AI agent may understand what needs to be done. That doesn't mean it should automatically have permission to do it.

So I started building: 🛡️ Agent Security Gateway A vendor-neutral Zero-Trust security and authorization layer for AI agents. The idea is simple: 🧠 The model proposes. 🛡️ The gateway decides. ⚙️ The tool executes only after authorization.

Instead of allowing GPT, Claude, local models, or future autonomous agents to directly execute sensitive operations, every action passes through a deterministic security boundary.

Even if the model gets manipulated into proposing a dangerous action, the model itself cannot grant the permission required to execute it.

This is not about reducing AI autonomy. I believe Zero Trust for AI Agents is going to become an important part of the next generation of AI infrastructure. This project is currently evolving rapidly, and I’ll be open-sourcing it for the community. 🔓 I’ll share the GitHub repository in the comments.

Live demo: https://agent-security-gateway-v01.vercel.app/#home

I’d especially love feedback from: AI engineers Cybersecurity researchers Agent/MCP developers Open-source contributors And instead of only asking: “What do you think?” I have a better question: 🔥 How would you try to break this architecture?