Financial crime detection is too often siloed—leaving exploitable gaps for sophisticated criminals. Federated Foundation Models (FFMs) let banks share intelligence without sharing data, combining federated and transfer learning to strengthen detection, preserve privacy, and adapt quickly to evolving tactics.
Key Takeaways
Share AML intelligence without compromising sensitive data
Strengthen detection with collective expertise from multiple institutions
Adapt models continuously to evolving criminal tactics
Include all banks, regardless of size or technical capacity