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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
February 3, 2026 | Blog
When models begin to influence markets: The Zillow..
At the end of 2025, Zillow, the largest residential real estate listing platform in the United States, quietly..
READ MOREFebruary 1, 2026 | Blog
Human in the loop in 2026: What AML governance now..
This is not another recap of why “human in the loop” is crucial. It is an examination of how that concept ..
READ MOREJanuary 20, 2026 | Blog
The future of AML effectiveness: The metrics regul..
Coverage, precision, prioritization, and case aging reveal an AML program’s true operational behavior un..
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