Our Federated solution
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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
June 16, 2026 | Blog
Generative AI and financial crime: When deception ..
In early 2024, a finance worker joined what appeared to be a routine video call with the CFO and several senio..
READ MOREJune 16, 2026 | Blog
Why Chinese money laundering networks still evade ..
Chinese money laundering networks (CMLNs) are already well understood across the industry. Their role in suppo..
READ MOREMay 19, 2026 | Blog
The Mexico–U.S. corridor: From fragmented intell..
Cross-border financial crime between the United States and Mexico sits at the center of one of the most active..
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