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

October 8, 2026 | Blog

Federated Synthetic AML Data: 12x lift, zero real ..

Federated synthetic AML data is the latest federated product launching from Consilient this year, and is built..

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October 8, 2026 | Blog

How much data does an AML model need to catch fina..

Every bank that builds a machine learning model to catch money laundering runs into the same wall: there are n..

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August 20, 2026 | Blog

Human trafficking: The scale,  exploitation, and ..

According to The International Labor Organization, nearly 50 million people are trapped in modern slavery, gen..

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