Using AI to Reduce False Alerts and Improve Compliance
Read this White Paper to Learn:
- Why existing TMS systems are not working
- How Unsupervised Machine Learning can reduce false positives and false negatives simultaneously
- How to stay compliant with new AI technology using DataVisor’s AML solution
As AML fines continue to skyrocket, false positive alerts continue to plague existing AML solutions, creating huge downstream costs to follow up on each one. Financial institutions that attempt to reduce false positives with existing solutions, often seen a corresponding rise in false negatives and the associated risk of fines.
Unsupervised Machine Learning allows FIs to reduce false positives while reducing false negatives at the same time by automatically uncovering the hidden connections between accounts.