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Platform · AI Governance

Evaluation & red teaming

Nothing serves until it has been tested, and the results stay on the record. Every model and agent faces the challenge its risk tier demands, including accuracy checks, jailbreak attempts, and leakage probes, before it touches a customer or a regulatory number. A pass becomes evidence your second line can open, and a missing pass blocks serving.

What you get01 / 03
01

Evaluation suites are matched to risk tier, so a model that touches credit decisions faces harder tests than one that drafts meeting notes.

02

Red-team runs go on the record: jailbreak attempts, prompt injection, and data leakage probes are stored as evidence with the run configuration and results attached.

03

The serving gate fails closed. Without a current sealed pass on the record, the model does not serve.

04

Re-evaluation is triggered by change: a new model version, an edited prompt, or shifted upstream data invalidates the old pass.

05

Second-line review runs through one decision door with maker-checker enforced, and every verdict is sealed either way.

How it works02 / 03
1

Scope

The model's risk tier determines which evaluations and red-team probes it must pass.

2

Run

Tests execute before serving, and results land as evidence tied to the exact model and prompt version.

3

Decide

Validation goes through one decision door with maker-checker, and the verdict is sealed whether it passes or fails.

4

Gate

Serving requires a current sealed pass. A missing or stale result blocks the model, and the gate fails closed.

Questions it answers03 / 03

“Was this model tested before it went live, and can I see the results?”

Yes. Every model passes the evaluation suite its risk tier requires before it serves, and the results are stored as sealed evidence with the run configuration attached. You open the record and see exactly what was tested, when, and what the verdict was.

“Has anyone tried to break this agent before a customer does?”

Yes. Red-team runs, including jailbreak attempts, prompt injection, and data leakage probes, execute before serving and are stored as evidence tied to the exact model and prompt version, so your second line can open the results directly.

“What stops an untested model from reaching production?”

The serving gate fails closed. Without a current sealed pass on the record the model does not serve, and any change to the model version, its prompt, or its upstream data invalidates the old pass and forces re-evaluation.

The next step

Start with proof, not a promise.

There are three ways in, and each one earns the next. You approve the exit criteria before we spend any more of your time or budget.

01

A 60-minute working session

Bring one report that is expensive to prove. We walk the mechanism against it. Nothing is required from your side.

02

A two-week guided sandbox

Your team works hands-on against a synthetic sample bank. It requires zero access to your systems and zero procurement.

03

A six-week proof on your systems

We use read-only metadata across five systems and one priority report, scored against criteria both sides sign first. The decision it produces is yours.