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Banks are unknowingly harboring undisclosed high-risk customers—and outdated AML models aren’t catching th..

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March 28, 2025 | Blog

Five high-risk typologies financial institutions f..

Your customer database likely contains several high-risk businesses you don’t know about. These entities did..

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February 28, 2025 | Blog

Visibility gaps in Correspondent Banking: why trad..

Financial institutions face an uncomfortable truth: despite investing billions in anti-money laundering contro..

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