Capability boundary for AI agents

Keep your AI agents in their lane.

Wrap any agent — OpenClaw, LangChain, CrewAI, or your own. Every action is checked against a policy before it runs, with a signed proof. A prompt that says “don’t” isn’t a boundary. A capability check is.

▶ Try the playground Read the docs

pip install certior  ·  Apache-2.0  ·  live on PyPI

Open the quickstart in Colab Run it in your browser — no install, no key.

A web page tells two AI agents to drop the database. Without a boundary it happens; with Certior the action is blocked because the agents only hold db:read.

A real multi-agent attack — caught live. Try all five →

Works with the agent frameworks your team already uses

OpenClaw·LangChain·CrewAI·OpenAI·your own loop

Three gates. One signed receipt. Every action.

Wrap an agent and each tool call passes three independent checks before it runs.

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Capability

A child agent can never do more than its parent. Capability subsetting is enforced on every hand-off — no escalation.

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Content

HIPAA, SOX, and attorney-client presets scan prompts and tool output for what must never leave. Custom rules where you need them.

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Budget

A hard spending ceiling per agent. Runaway delegations stop themselves before they bill you.

Certior Studio

See every decision your agents make.

A live glass-box view of agent hand-offs. Watch a privilege escalation get blocked before it runs — the denied action and its proof, side by side.

Certior Studio — the delegation graph, blocked actions, and Lean-verified policies in one view.

Proven, not promised

A policy a Big-4 auditor can check.

Z3 proves every decision; Lean 4 machine-checks the policy it enforces. Certior doesn’t verify the model — it verifies the boundary the model runs inside, and an auditor re-checks it with a single lake build.

Putting AI agents into production?

Certior is open source — start building today. We also partner closely with a few regulated teams taking agents into production. Either way, let’s talk.

Email hello@certior.io Try the playground Build on GitHub