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..
READ MOREDecember 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..
READ MORENovember 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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