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Banks are unknowingly harboring undisclosed high-risk customers—and outdated AML models aren’t catching th..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