DataVisor dVector UML Fraud and Risk Solution

Using proprietary unsupervised machine learning (UML) algorithms, dVector proactively detects and acts on fast-evolving fraud patterns, and prevent future attacks before they happen. There’s no need for labeled data — DataVisor’s UML engine uses advanced clustering and graph analysis techniques to identify correlated groups of fraudulent activities and bot attacks in real time. It provides early detection by capturing incubation accounts before any damage occurs. By identifying fraudulent clusters — not just anomalies or outliers — dVector reduces false positives and delivers extremely accurate results.