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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
August 7, 2025 | Blog
UK’s Monzo Bank £21m warning: scale without con..
There’s something unsettling about how familiar this is. A fast-growing bank. Compliance controls that could..
READ MOREAugust 7, 2025 | Blog
What’s really holding back AML collaboration and..
Collaboration across financial service organizations exists today. Credit Reference Agencies (CRAs) gather cre..
READ MOREJuly 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...
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