Agent Gate is a control layer for AI agents, designed to stop risky actions before they happen. It evaluates agent behavior with GPT-6 Astra, applies policies, assigns risk scores, and can allow, block, or require human approval in real time. Unlike basic monitoring tools, Agent Gate actively governs agent actions and keeps a clear audit trail of every decision.
What real task does your product handle with GPT-6 Astra?
Maker
Agent Gate uses GPT-6 Astra to evaluate AI agent actions before they execute. Astra analyzes the agent’s intent, action context, data sensitivity, destination, behavioral signals, and potential impact to identify risk that simple rules may miss. Agent Gate combines Astra’s contextual evaluation with deterministic policies and then returns ALLOW, BLOCK, or REQUIRE APPROVAL. This lets teams stop dangerous agent actions, escalate uncertain ones to a human, and record the reasoning in an audit trail before real systems are affected.
Report
Maker
📌
Hey Product Hunt 👋
I built Agent Gate because AI agents are becoming capable of taking real actions — but most teams still lack a reliable way to control what those agents are allowed to do.
Agent Gate sits between an AI agent and the tools it wants to use. It evaluates each action with GPT-6 Astra, applies policies and context, assigns a risk score, and can allow, block, or require human approval before anything happens. Every decision is also recorded in an audit trail.
For this launch, I focused on making agent governance feel simple instead of adding another complicated security dashboard.
I’d especially love feedback on the risk evaluation, approval flow, and what integrations you’d want to see next.
Thanks for checking out Agent Gate! 🚀