Shared fraud intelligence. Zero raw transactions shared.
Competing institutions train shared fraud intelligence without surrendering a single transaction. When an examiner challenges the model, your team pulls reproducible, cryptographic evidence — not a defensive memo.
What the examiner sees is what the platform proved.
Attested eval and benchmark stages produce the model documentation examiners ask for — as a byproduct of running.
The tamper-evident audit log satisfies audit-trail requirements. Any auditor with access verifies independently.
Raw transactions never leave the institution. Secure aggregation keeps individual updates unreadable.
Cross-institution graph learning without data pooling — provable contribution, no shared customer data.
Competing institutions. One shared model. No shared data.
Each bank trains locally; only proven model updates leave the perimeter. Secure aggregation combines them without any single update being readable — even to STEAV.
Where it applies
Where banks put it to work
Inside your cloud perimeter.
CID runs natively inside your cloud accounts. Customer transactions, model weights, and core logic never touch STEAV’s infrastructure.
Absolute network isolation. Customer records remain inside your regulated perimeter at all times.
Hosted and self-managed GPU options available for institutions operating their own fleets.
First pipeline run in 4–6 weeks. First production federation in 8–12.
Examiners get evidence, not assertions.
Stop assembling examination binders. STEAV generates immutable, verifiable proofs of your shared-model pipelines in real time — giving examiners exactly what they need without the engineering overhead.
We map one fraud workflow and stand up an environment in your cloud.
A signed execution record you can hand straight to an examiner.
Live cross-institution training producing evidence on every run.