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SEE GOVERNANCE IN ACTION.

Six minutes. Four enforcement layers. Every tool call governed, every secret scanned, every decision traced. This is what your security team will see on day one.

The Full Demo

Six minutes from cold start to governed AI agents. Watch tool access control, secret detection, request tracing, and live agent execution, all running on a single server with zero cloud dependencies.

What You Will See

Every AI tool call passes through four enforcement layers before execution. First, scope-based access control checks whether the agent is permitted to use the tool. Second, secret detection scans all inputs for credentials (AWS keys, GitHub tokens, private keys, API secrets). Third, rate limiting enforces per-agent and per-user quotas. Fourth, the complete decision is recorded in an immutable audit trail.

In the demo, you will see an admin-scope agent call an MCP tool and pass governance. The same tool, called by a user-scope agent, is denied immediately. Credentials injected into tool inputs are blocked before they reach any external service. Every decision, allow or deny, is recorded with the full evaluation context: which rules fired, what policy matched, and why.

The entire governance evaluation completes in under 5 milliseconds. No perceptible latency for the developer. No performance tax on your AI workflow. The governance layer is invisible when it allows and immediate when it blocks.

  • Tool Access Control — Scope-based allow and deny decisions in milliseconds. Admin tools invisible to user-scope agents. Two independent enforcement layers.
  • Secret Scanning — AWS access keys, GitHub tokens, PEM private keys, and API secrets blocked before they reach any tool. Applies to all agents regardless of scope.
  • Audit Trail — Every governance decision recorded with agent identity, tool name, policy match, reason, and timestamp. Queryable via CLI and API.
  • Cost Attribution — Every AI request attributed to its agent. Per-agent cost breakdown with token counts, model, and latency. No hidden spend.

From Demo to Production

Everything in the demo runs on a single server. In production, the same binary scales horizontally. Stateless JWT authentication means you add replicas behind a load balancer with zero configuration. No session affinity. No shared state. No distributed cache.

The governance rules, audit trails, and cost attribution you see in the demo are the same in production. There is no "demo mode" and "production mode." The binary you evaluate is the binary you deploy. Your security team reviews the same enforcement layers they will rely on.

Self-hosted means self-controlled. The binary runs on your infrastructure, in your network, behind your firewall. Air-gapped deployment is supported, with zero outbound connections required. Your data, your governance decisions, and your audit trails never leave your environment.

  • Same Binary, Every Environment — What runs in the demo is what runs in production. No demo mode, no feature flags, no surprises at deployment time.
  • Your Infrastructure, Your Network — Self-hosted, air-gapped capable, zero outbound connections. Your data never leaves your environment.
  • Get Running Today — Clone the template repository, run cargo build, point at PostgreSQL. Serve your first governed request in minutes.

Founder-led. Self-service first.

No sales team. No demo theatre. The template is free to evaluate — if it solves your problem, we talk.

Who we are

One founder, one binary, full IP ownership. Every line of Rust, every governance rule, every MCP integration — written in-house. Two years of building AI governance infrastructure from first principles. No venture capital dictating roadmap. No advisory board approving features.

How to engage

Ready to try it yourself?

The same binary that powers this demo is available now.