AgentGate API
The First Security Layer Built for AI‑Powered Development
You're vibe‑coding at warp speed. Your AI agents are on fire. But who's watching what they touch?
🔓 The Invisible Risk Every Developer Is Ignoring
You grant Cursor, Copilot, or Claude access to your repo. They see your .env file. They read your API keys. They propose changes that—if auto‑accepted—could push secrets to public repos, alter database connections, or disable security checks.
Traditional secret managers only protect secrets at rest. They don't answer the critical question: “Which agent is asking for this secret, and should it be allowed?”
That's where AgentGate comes in.
🚪 What Is AgentGate API?
AgentGate is a lightweight, drop‑in API that acts as a policy gate between your AI‑powered tools and your sensitive resources.
It returns ALLOW or DENY in milliseconds. You integrate it once, and every agent request is verified before touching your environment.
🔄 How It's Different From a Secret Manager
| Traditional Secret Manager | AgentGate API | |
|---|---|---|
| Stores secrets | ✅ Yes | ❌ Never sees your secrets |
| Controls which agent can read a secret | ❌ No (any process with the key gets it) | ✅ Yes (agent identity + policy) |
| Audits which agent accessed what | ❌ Only “who downloaded the secret” | ✅ Every request, every decision |
| Works with AI agents | ❌ Designed for human users | ✅ Built for machine‑to‑machine |
Secret managers answer “what is the secret?”
AgentGate answers “should this agent get it?”
⚙️ Policies You Define (Not Us)
AgentGate is a policy engine—you bring the rules.
- Per‑agent rules (even anonymous agents get a
deny-alldefault) - Per‑resource controls (databases, queues, object stores, APIs)
- Per‑action filters (
read,write,delete,execute)
No changes to your infrastructure. No sidecars. No eBPF magic. Just an API call.
🧪 Where to Use AgentGate
- Cursor / Continue / Cody – block writes to production from AI‑generated code
- GitHub Copilot – prevent suggesting live credentials
- CI/CD pipelines – verify that no agent can alter deployment secrets
- AI‑powered data pipelines – ensure summarisation agents can't delete raw data
- Agent‑to‑agent communication – stop credential harvesting through “friendly” requests
🧠 Why “We Haven't Had an Accident” Is a Trap
“But there hasn't been a major AI‑agent breach yet.”
That's exactly the problem. Security always lags behind technology. We didn't add firewalls until after the first worms spread. We didn't add API keys until after the first API abuse.
AI agents are already inside your environment, with credentials, making autonomous decisions. The only thing missing is a widely publicised incident.
AgentGate is that low‑friction, high‑impact control you put in place before the headline becomes your company name.
🏛️ Customization & Extensibility
- Self‑host the policy engine – run AgentGate inside your VPC
- Bring your own identity – JWTs, mTLS certificates, or opaque tokens
- Webhook policies – call your internal service to decide on the fly
- Audit logs – every decision is recorded in a tamper‑evident ring buffer
🕹️ Get Started in 3 Minutes
- Sign up – get an API key (free tier: 1,000 requests/month)
- Write a policy – define who can do what
- Add one line to your code –
if not agentgate.check(...): raise BlockedByPolicy
No agents. No SDK. No infrastructure changes.
🔐 The Bottom Line
You already trust AI agents with your code.
It's time to trust them with boundaries.
Free tier includes 1,000 requests/month – enough to secure a small team of agents.
Want to see a live demo of AgentGate blocking a rogue agent request?
Book a 15‑min walkthrough ⟩