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Banks are unknowingly harboring undisclosed high-risk customers—and outdated AML models aren’t catching th..
READ MOREMarch 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..
READ MOREFebruary 28, 2025 | Blog
Visibility gaps in Correspondent Banking: why trad..
Financial institutions face an uncomfortable truth: despite investing billions in anti-money laundering contro..
READ MORE