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Relay Security
Block dangerous AI agent actions before execution
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.
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.
About Relay Security on Product Hunt
“Block dangerous AI agent actions before execution”
Relay Security was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #55 on the daily leaderboard. 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.
On the analytics side, Relay Security competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Relay Security performed against the three products that launched closest to it on the same day.
Who hunted Relay Security?
Relay Security was hunted by Aniket Varshney. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Relay Security including community comment highlights and product details, visit the product overview.
Aniket Varshney