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

April 18, 2025 | Blog

Why your AML controls should evolve faster than fi..

Criminal behavior adapts quickly along with its ability to exploit gaps within AML controls; the moment one de..

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April 17, 2025 | Blog

Rare event detection: how Federated Learning trans..

How do you find extremely rare instances of financial crime hidden among millions of legitimate transactions? ..

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April 1, 2025 | Blog

How Consilient’s new models detects hidden high-..

Banks are unknowingly harboring undisclosed high-risk customers—and outdated AML models aren’t catching th..

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