Stop deploying
unsafe AI agents

Three layers. One platform.

Deploy-time enforcement stops problems before they reach production. Runtime enforcement catches what slips through. The compliance trail proves you were in control the whole time.

System prompts aren't security controls.

System prompts are probabilistic suggestions the model can ignore. AgentGuard enforces policy outside the model — at deploy-time and runtime — so compliance is structural, not hopeful.

"I have 200 agents deployed across 6 departments. I can't tell you what they accessed yesterday, whether any of them violated our data handling policies, or if one is currently exfiltrating PII to a third-party API. My board asks about AI risk every quarter and I have nothing to show them." — CISO, Financial Services Enterprise (discovery interview, Jan 2026)

Zero to enforced in four steps.

From install to a live CI/CD gate and runtime policy engine in under 10 minutes.

Your pipeline. Your gate.

Drop this workflow into any repo. AgentGuard validates tool coverage before every deploy — like container scanning, but for agents.

Your title. Your pain.

AgentGuard is built for the people responsible when an agent goes wrong — and for the engineers who want to ship safely before it does.

Test the real engine.

This playground calls the live AgentGuard policy engine. Every evaluation is a real HTTP request — real decisions, real latency, real audit events.

POST https://api.agentguard.tech/api/v1/evaluate

curl -X POST https://api.agentguard.tech/api/v1/evaluate \
  -H "Content-Type: application/json" \
  -H "X-API-Key: ag_live_your_key_here" \
  -d '{"tool":"http_post","params":{"destination":"https://evil.io"}}'

# Response:
{
  "result": "block",
  "matchedRuleId": "block-external-http",
  "riskScore": 75,
  "reason": "Blocked by rule",
  "durationMs": 0.49
}

import requests

decision = requests.post(
    "https://api.agentguard.tech/api/v1/evaluate",
    headers={"X-API-Key": "ag_live_..."},
    json={
        "tool": "http_post",
        "params": {"destination": url}
    }
).json()

if decision["result"] == "block":
    raise PolicyViolation(decision["reason"])

const res = await fetch(
  "https://api.agentguard.tech/api/v1/evaluate",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "X-API-Key": "ag_live_..."
    },
    body: JSON.stringify({
      tool: "http_post",
      params: { destination: url }
    })
  }
);
const { result, matchedRuleId, riskScore } = await res.json();

if (result === "block") {
  throw new PolicyViolation(matchedRuleId);
}

Simple, transparent pricing.

Start free. Scale as you grow. No hidden fees, no surprises.