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Teams building agentic products and internal tooling

Stop building the guardrails yourself.

You did not set out to write an authorization system. But every agent that touches a real system eventually grows one — badly, inline, and differently each time. Cirvix is that layer, done once.

Ask yourself

How much of your agent codebase is doing authorization rather than doing the job?

Today

What you are working around

  • Allowlists and path checks scattered through tool implementations
  • Secrets in environment variables that end up in the model's context
  • No way to test a permission change short of deploying it
  • When an agent misbehaves, the only artefact is a transcript

What changes

The specific difference

Each of these is a module you can read about in detail — this is the same platform, not a variant.
  • Authorization leaves your code

    Tool implementations do the thing. Whether they are allowed to is decided outside them, in a policy set you can read.

    Policy Engine
  • Secrets never reach the model

    The agent holds a handle; the real value is substituted at the boundary, bound to an allowlisted destination.

    Secrets
  • Refusals your agent can act on

    A denial returns a typed error naming the policy and a remediation, so the agent re-plans instead of retrying blindly.

    Runtime Security
  • Replay instead of guesswork

    Re-evaluate a recorded run against a candidate policy and see exactly which calls would flip before merging.

    Runtime Observability

In detail

The integration is at the tool boundary, not per tool

SDK middleware wraps the executor, so a new tool is governed the moment it exists. If you are on MCP, the gateway covers you without touching application code at all.

The agent stays useful when it is refused

The failure mode that ruins agent products is a hard error mid-run. A structured refusal — with the policy name and a suggested alternative — keeps the run alive and usually results in the agent completing the actual task by a permitted route. That behaviour is the difference between a control plane and a kill switch.

Local first

The CLI runs the same evaluator against the same policy set on your machine. You find out that a change breaks an agent before CI does, and long before production does.

Get started

Let the agents do real work.

Start with the free local scanner — it needs no account and tells you what is already ungoverned on your machine. Move to a governed runtime when you are ready.

Cirvix AgentControl is in private beta. Pricing is published and plans are not yet chargeable — early access confirms your place and we will tell you before anything bills.