How it works
Suvard sits in-line between your people and the AI, inside your own network. Every request passes through the same four moves, in every sector. Only the detector changes.
The same engine, through your sector's lens
A clinician asks the AI:
Draft a discharge summary for Jens Hansen, CPR 010190-1234, admitted with atrial fibrillation, treated with Marevan.
Same question, nothing sensitive in it:
Draft a discharge summary for [PATIENT NAME], CPR [CPR NUMBER], admitted with [DIAGNOSIS], treated with [MEDICATION].
Live today: validated against a real clinical evaluation corpus. (Example data is synthetic.)
A grid engineer asks the AI:
Why is turbine WT-A117 at Anholt East underperforming? SCADA tag A117-GEN-RPM reads 1,180 rpm on feeder F-42.
Same question, nothing sensitive in it:
Why is turbine [ASSET ID] at [SITE] underperforming? SCADA tag [SCADA TAG] reads 1,180 rpm on feeder [GRID TOPOLOGY].
Illustrative: the energy detector pack is in development. The engine underneath is the same.
An analyst asks the AI:
Draft a client note for Peter Madsen, IBAN DK50 0040 0440 1162 43, on the pending acquisition of NordFin A/S.
Same question, nothing sensitive in it:
Draft a client note for [CLIENT NAME], IBAN [IBAN], on the pending [MNPI].
Illustrative: the finance detector pack is in development. IBAN detection is deterministic (mod-97) and quick to ship.
Go deeper
Questions we hear
No. Suvard is deployed inside your own network, on your own infrastructure. Nothing sensitive leaves the building. That is the point.
No. The shield works in front of the cloud AI your teams already use. Local models are an option, never a requirement.
Suvard sits in-line as a proxy, so it is provider-agnostic: ChatGPT, Claude, Gemini, Copilot: same engine, same evidence.
Healthcare, through CareProxy: validated in real deployments with two Danish health-tech companies; in dialogue with a Danish region. The energy and finance detector packs are in development; the engine underneath is the same.
No tool can promise that. Suvard supports compliance: it enforces your policies technically and produces the evidence. Your legal assessment stays yours.
A hash-chained, Ed25519-signed audit log of every AI request and every decision, exportable in one click and verifiable without trusting us.
Firewalls see packets; classic DLP sees patterns. Suvard understands what is being sent to AI: masks it with placeholders your people can keep working with, blocks what must never leave, and proves what happened.
A conversation, a demo, then a pilot in your own environment. Write hello@suvard.com.