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 11, 2025 | Blog

Why AI must accelerate AML investigations and why ..

New capabilities and new expectations are reshaping AML. Banks and regulators agree that static rules engines ..

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November 4, 2025 | Blog

Inside Chinese Money Laundering Networks and how F..

Written by: Board Director of Consilient and CEO of IDPL Consulting, LLC and Matthew Girgenti, Managing Consul..

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October 24, 2025 | Blog

Is PRAUC the gold standard for AML model performan..

Is my AML model effective in practice? And what’s the best way to answer that question?  Research from ..

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