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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
May 13, 2025 | Blog
Don’t rip and replace: How modern AML models can..
There’s a reason financial institutions push back on full-scale AML overhauls: they’re expensive, complex,..
READ MOREMay 13, 2025 | Blog
AI vs AML Compliance: 6 questions every firm shoul..
What happens when your AI moves faster than your compliance team can follow? Unfortunately, this is an actual ..
READ MOREApril 24, 2025 | Blog
Rethinking risk ratings: a collaborative data-driv..
Customer Risk Ratings (CRRs) play a central role in anti-money laundering and counter-terrorist financing (AML..
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