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Federated Learning Models for AML/CFT
Our Federated Models
Introducing federated learning models for anti-money laundering (AML).
Consilient models are crafted to significantly enhance efficiency and effectiveness in identifying risks through the exchange of behavioral patterns and insights, all while preserving data privacy.
Designed to address the challenges with core AML processes, federated learning introduces industry collaboration to fight financial crime.
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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