Traditional systems use sets of business rules or known anomalies to detect fraudulent activity. Machine learning looks at all activity in the sum of their customer transactions or user channels, and finds anomalies based on assessing all transaction data. It’s a way to quickly take a comprehensive look at all user activity, allowing you to predict risk factors.
Why should your business get on board with machine learning? Because it's changing the landscape of fraud and authentication. Get the latest report from Aite on how machine learning is becoming a competitive issue.