Machine learning (ML) is one of the fraud-fighting industry’s most powerful weapons in the war against new-account fraud and account takeover. It can expose new and emerging fraud trends in real time and adapt detection solutions accordingly.
In this five-minute podcast, ID Insight CEO Adam Elliott quickly discusses:
- Supervised vs unsupervised ML
- ML’s dependency on quality data
- How ML has improved fraud detection