Every AI action. One enforced path.

LLM gateways govern what AI says. Gatekeeper governs what AI does, deciding every tool call inside an enclave where no server outside holds a key.

Plan a scoped pilot

See what your people and AI tools are doing.

Every tool call carries an identity chain: the person, the AI tool they're driving, and the system it reached. Start in monitor mode and see everything before you enforce anything.

Live activity

Monitor mode

    Control what every person, AI tool, and bot can do, and what they can connect to.

    Write policy once for people, AI tools, and autonomous bots alike, from someone working in Claude to an agent like Grok or Dots acting on its own. Gatekeeper enforces it on every call, before anything runs.

      And any other MCP server, REST, or gRPC API

      • Allowed
      • Needs approval
      • Denied
      • Denied by default
      • Approval for the exact requestA human approves the exact parameters, and only that request runs. Once.
      • Limits checked before the callSpend caps, rate limits, and transaction size are enforced before anything executes, not reconciled after.
      • Deny by default, fail closedAnything without a rule is denied. If Gatekeeper is unreachable, calls stop instead of slipping through.

      Credentials your AI never holds.

      Most AI gateways keep your API keys on an ordinary server. Gatekeeper seals them inside a hardware vault, so your AI tools get results, never the keys behind them.

      • Sealed in hardwareKeys unlock only inside an attested AWS Nitro Enclave, one approved call at a time.
      • Results, not secretsThe credential never reaches the model, the tool, or the prompt.
      • Not even Station70 can read themOur engineers and servers can't decrypt them. Verify it yourself.

      Technical deep dive

      Request the Gatekeeper technical whitepaper

      Architecture, threat model, and cryptographic design in depth. Reviewed and sent personally by our team.

      Work email required.

      Request received. Our team will review it and send the whitepaper to your inbox.

      Prove the control was on.

      AI is moving faster than the rules around it, and the rules are arriving. Auditors will ask what every AI tool and bot did, and who allowed it. Gatekeeper records every decision, denies included, as signed evidence you can hand straight over.

      Decision receipt

      rcpt 8f21c
      Person
      m.chen@acme.com
      AI tool
      Cursor
      Requested
      github.pull_request.merge
      Policy
      engineering.v4 · rule 2
      Decision
      Denied · did not execute
      Recorded
      08 Oct 2026 · 14:02:11 UTC
      Signed · sha256 7f3a…c91eExport CSV · JSON · SIEM

      Evidence mapped to the frameworks your auditors use

      • SOC 2Logical access, change authorization, monitoring
      • ISO 27001Access control and logging
      • ISO 42001AI system inventory and operating records
      • NIST AI RMFGovern and measure
      • EU AI ActRecord keeping and human oversight
      • DORAICT access control and incident evidence

      Station70 is SOC 2 Type 2. Visit the trust center (opens in a new tab)

      Watch first. Enforce when ready.

      Our engineers connect one workflow in monitor mode and map what would be allowed, denied, and held for approval. You don't hire for this.

      • SaaS
      • Self hosted in your VPC
      • Dedicated instance

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