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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
July 19, 2025 | Blog
The gaps criminals exploit: Why global AML collabo..
Criminals exploit gaps in both banks’ monitoring systems and also take advantage of jurisdictional gaps...
READ MOREJuly 16, 2025 | Blog
Why smaller FIs face structural disadvantages in A..
Smaller financial institutions face structural disadvantages in meeting anti-money laundering (AML) compliance..
READ MOREJune 17, 2025 | Blog
Smarter AML triage: How ranked scoring boosts risk..
The volume problem isn’t going away. But how you triage it can change. By the end of 2024, financial institu..
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