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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
September 11, 2025 | Blog
Explaining AML AI models: Making performance metri..
In regulated environments like AML, a model without transparency is a model without credibility. Executives wo..
READ MORESeptember 11, 2025 | Blog
Spotting Fentanyl in the financial fog: Why Federa..
Fentanyl kills quickly. The money that fuels it moves quietly. And that’s what makes it so hard for banks to..
READ MOREAugust 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..
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