Our Federated solution
Play
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
April 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..
READ MOREApril 18, 2025 | Blog
Why your AML controls should evolve faster than fi..
Criminal behavior adapts quickly along with its ability to exploit gaps within AML controls; the moment one de..
READ MOREApril 17, 2025 | Blog
Rare event detection: how Federated Learning trans..
How do you find extremely rare instances of financial crime hidden among millions of legitimate transactions? ..
READ MORE