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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
March 28, 2025 | Blog
Five high-risk typologies financial institutions f..
Your customer database likely contains several high-risk businesses you don’t know about. These entities did..
READ MOREFebruary 28, 2025 | Blog
Visibility gaps in Correspondent Banking: why trad..
Financial institutions face an uncomfortable truth: despite investing billions in anti-money laundering contro..
READ MOREFebruary 20, 2025 | Blog
Solving Correspondent Banking compliance: Consilie..
Correspondent banking is essential for global trade and cross-border payments, but it comes with significant r..
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