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Identity providers: protect user data & enhance compliance.

Remove the risk from processing user data entirely, and be compliant by design.

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See how it works

Biometrics that never decrypt

Verify identity on biometric data that stays encrypted from the first step to the last, including at the moment of inference.

Special-category data under GDPR Article 9 never enters cleartext, so compliance becomes a property of the architecture rather than a step you defend to your auditor.

Full accuracy, fully encrypted

Match on the full biometric signal, encrypted, with nothing stripped out to keep it safe.

The accuracy of a real biometric match stays intact, because the data never has to be reduced to be protected.

A layer, not a migration

Add Wodan as an encryption layer over the identity pipeline you already run.

It deploys in weeks as a drop-in, so you meet July 2026 without a platform migration.

DORA

Third-party ICT risk

EU AI Act

Risk classification

AMLR Art. 75

Encrypted info-sharing

GDPR Art. 9

Special category data

How it works

Fully homomorphic encryption lets a model work on data while it stays encrypted, from arrival to answer.

So you can verify who someone is and grant them access without anyone seeing the data behind it: not the model, not the cloud, not us.

FAQ

Customers do not ask for what they assume is impossible. The first KYC vendor to ship privacy-preserving inference sets the new procurement standard. AMLR readiness audits are happening now.

Benchmarks under one second on commodity hardware for biometric matching. The pilot validates on your model architecture before any commitment. Where FHE genuinely cannot meet your latency budget, we say so.

Because FHE removes the data from exposure entirely, encryption is a way to enhance compliance. The two are complementary; FHE is the technical control DORA Articles 28 to 30 now require behind the certifications.

Wodan operates as a layer that wraps the existing inference pipeline. The encryption boundary sits between client capture and model inference. The existing identity stack continues as is. The integration is a drop-in for the inference stage, not a platform migration.

Protect user data & enhance compliance.

Book a Call