Fraud Detection & AML
Financial institutions need to share fraud intelligence to stay ahead of sophisticated attacks — but data privacy regulations prevent direct data sharing. Our MPC-based fraud detection lets multiple banks screen transactions against shared risk models while keeping each institution's customer data fully encrypted and isolated.
Key capabilities
Multi-Bank Collaboration
Run joint fraud analysis across institutions without any party revealing their customer records. MPC ensures each bank's data remains encrypted and under its sole control throughout the process.
Real-Time Transaction Screening
Screen payments and transfers against consolidated risk indicators in milliseconds. Flag suspicious patterns across institutional boundaries before funds leave the network.
Encrypted Record Matching
Identify shared bad actors across databases without exposing the databases themselves. Matching operates on encrypted inputs — no institution sees another's raw data at any point.
Regulatory Compliance Built In
Meet AML directive requirements, GDPR obligations, and financial supervisory expectations simultaneously. Privacy-preserving computation satisfies both data protection and information-sharing mandates.
Use cases
Cross-Border Payment Screening
Correspondent banks screen transactions against each other's risk profiles without violating data residency laws. Suspicious transfers are flagged before settlement, reducing exposure across the payment chain.
Consortium-Level AML Intelligence
Banking consortiums pool anti-money-laundering signals without a central data aggregator. Each member contributes to collective intelligence while retaining full sovereignty over its own customer data.
Ready to explore Fraud Detection & AML?
Book a demo to see how this solution works for your organization.