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
August 18, 2026 | Blog
Gold laundering, FATF, and UNODC: the 2026 AML age..
I sat through FATF’s launch of its 2026-2028 agenda earlier this month. $1 trillion is the number FATF o..
READ MOREAugust 6, 2026 | Blog
FinCEN’s 2026 NPRM: The AML collaboration im..
Key takeaways from this article: FinCEN’s proposed AML rule sets one standard: demonstrate that your pro..
READ MOREJune 16, 2026 | Blog
Generative AI and financial crime: When deception ..
In early 2024, a finance worker joined what appeared to be a routine video call with the CFO and several senio..
READ MORE