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Finance

AI in financewithout account data or MNPI leaving your network.

Detector in development

Banks and fintechs handle IBANs, account numbers, transaction histories and material non-public information that must never reach a cloud model. Suvard detects them and keeps them on your own network.


What Suvard protects here

IBAN/account detection is deterministic and quick to add; the full finance pack is next.

IBANs
mod-97 checksum, deterministic
In development
Account & card numbers
Luhn / format
In development
Transaction data
amounts, counterparties
In development
MNPI
material non-public information
In development

Finance detector in development. IBAN/account detection is deterministic (mod-97 / Luhn) and quick to ship; MNPI is contextual and on the roadmap. The engine underneath is proven in healthcare.


Built for financial regulation

Regulator: Finanstilsynet (Danish FSA)

DORA · operational resilience, in force Jan 2025
GDPR · personal & financial data
MiFID II · PSD2 · AML/KYC · market conduct & payments

Designed to support compliance with the above: Suvard provides the technical controls and the evidence; it does not replace your legal assessment.

Where teams use it

Analysis & research
Operational resilience
KYC / AML support
Answering with cloud models, without leaking MNPI

Why Suvard

The only one that does all four.

Regulated-grade detection True on-premise Court-ready audit No local AI required
Hyperscaler cloud AIMicrosoft, Google
Enterprise AI securitye.g. CrowdStrike, Trend Micro
Self-hosted open-source LLMon-prem, but nothing else
Suvard

True on-premise: data never leaves your OWN network, not merely "EU data residency" in a vendor cloud (a self-hosted LLM has this, but nothing else here). Court-ready audit: cryptographic, hash-chained, Ed25519-signed evidence, independently verifiable. No local AI required: the shield runs without you operating a GPU or model.


Use the best AI. Keep the data.

See Suvard run against your own finance data, on your own network.