Our Federated solution

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Core AML/CFT model

Enhance transaction monitoring and customer due diligence

Correspondent Banking

Federated Learning model for enhanced risk management

High-Risk Typology models

 Uncover hidden high-risk typology

High-Risk Jurisdictions model

Identifying high-risk transactions 

 

In the news

Anti-money laundering (AML) risk management reimagined

The first Federated Machine Learning technology for AML and financial crime detection.

Federated learning shares suspicious behavioral patterns without ever moving data

Dramatically improves efficiency & effectiveness of AML controls

Reduces false positive alerts by

75%

300%

Improved identification of high-risk customers

Proactively pinpoint new and potential risks

Latest posts

December 17, 2024 | Blog

Anomaly detection at scale: Consilient’s app..

Financial crime has never been more sophisticated. Bad actors constantly evolve their tactics, exploiting gaps..

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December 17, 2024 | Blog

Banking on collaboration: How to overcome the stal..

Money laundering activities in the United States account for an estimated $300 billion annually alone. Over th..

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November 19, 2024 | Blog

Anti-money laundering (AML) risk management reimag..

AML approaches rely heavily on manual processes, just to prepare Suspicious Activity Reports is estimated to c..

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