Relay Security
Block dangerous AI agent actions before execution
Start new thread

Relay Security - Block dangerous AI agent actions before execution

by•
Most agent security tools filter prompts before they reach the LLM. Relay checks the action instead — sitting between your agent and its tools, validating every GitHub call, shell command, database query, or deploy before execution. Blocked calls return a clear reason. Every decision is logged. Policies update from the dashboard without touching your agent code. Open source, model-agnostic, with optional Docker sandboxing for shell agents.

Add a comment

Replies

Best
Maker
📌
Hey, founder here 👋 I built Relay because of something that happened to me directly. I was building a custom Python agent and gave it database access to handle a routine task. One bad instruction later, it exposed live credentials. No warning. No checkpoint. The agent just decided, then acted. I found out after the fact. What surprised me most while fixing it wasn't the complexity — it was how easy it was to break. Agents don't need to be hacked. They just need one ambiguous instruction and access to a tool that can do real damage. I built relay to solves this problem: every tool call should pass through a policy gate before it executes. Allowed or blocked. Logged either way. No agent code changes needed after the initial wrap. That's Relay. A runtime checkpoint between your agent and the tools it calls — GitHub, shell, databases, deploys. It doesn't matter which model or framework you're using. If your agent can call a tool, Relay can protect it. Open source. One command to set up. Would love feedback from anyone shipping agents into production — especially if you've had a close call of your own.