Solutions
Your AI goes into production with the guardrails and the record already handled.
Glacis applies the agreed control between the application and the model it calls, and keeps the signed record current, so the answer is ready before anyone asks for it.
The layer is managed. Glacis runs the arbiter and the signing, so the work doesn’t land on your platform team. What a customer’s security team, an auditor or an insurer’s underwriter gets is a signed record of what the control reported, verifiable in their own browser with no Glacis account.
nVoq builds ambient documentation for clinicians and is our first customer and design partner. Glacis was selected for Lloyd’s Lab Cohort 17 in September 2026 — selection, not an endorsement of coverage terms. OVERT, the open format these records are written in, is moving to shared stewardship under CHAI and the AIGovOps Foundation, with Glacis Technologies as non-voting editor.
AI in production
One line in the agent config puts a gate in the action path. Glacis runs the layer; your team doesn’t staff it.
For engineering teams →AI you sell
A customer’s security team can check what your AI’s controls reported in their own browser, while the review is still open.
For AI vendors →AI you oversee
When a vendor runs on Glacis, its AI arrives with a signed record of what the controls reported. You can check it yourself.
For health systems →Where the AI already acts
Each page below takes one setting — ambient scribes, hiring screens, contact centers, agent tooling — and says which rule holds at the point of action and what an auditor or a customer’s security team can read from the record afterward.
If your setting isn’t here, let’s talk about what you’re putting into production — or browse the research.