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Financial services: take compliance to the next level.

Run external AI on your most sensitive financial data while it stays encrypted, so the inference step stops being a third-party exposure event.

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See how it works

External AI, no exposure event

Run external AI on your data while it stays encrypted, so the provider never sees a single cleartext moment.

Under DORA Article 28, the inference step stops being a third-party risk event, because there is no exposure for a third party to create.

The provider becomes a processor that mathematically cannot reach your data.

Your approval chain clears

Your CISO can sign off, because there is no exposure to flag.

Your CRO can sign off, because there is no third-party risk to carry.

Procurement can move, because the blocker is gone.

A layer in weeks, not years

Wodan deploys as a layer in weeks, not a multi-year internal build.

You run external AI safely and stay ahead of the regulator’s clock, using the infrastructure you already have.

How it works

Run AI models on encrypted data without decryption or exposure.

Wodan lets a model compute on your data while it stays mathematically encrypted the entire time, including during inference.

The model never sees plaintext, neither does the cloud it runs on, neither does the provider, neither do we. Only the key holder does, and with no key there is no data.

So you can put your most sensitive financial data to work in external AI without it ever becoming a third-party exposure, and DORA compliance follows as a consequence of the architecture, not as a control you defend.

FAQ

We bring documentation, threat model, and architecture review. FHE has been peer-reviewed since 2009, acknowledged by NIST (SP 800-208), ENISA, and ETSI. The CISO conversation is supported, not bypassed.

Data residency keeps data in a jurisdiction. DLP keeps it from leaving the perimeter. FHE keeps it encrypted during use. Three different layers; you have two, we add the third. The DORA audit gap is the third layer.

You can think of us as AI infrastructure. The pilot fits the AI or Innovation discretionary budget, below the procurement onboarding threshold. The annual contract follows after the pilot proves value, with documentation, threat model, and CISO architecture review already complete.

Neither does the EBA’s. Most institutions classify FHE-based models under the same model risk category as the underlying ML model, with encryption treated as an infrastructure control. We provide template MRM language.

Take compliance to the next level.

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