Reclaim millions in fraud losses through detection of suspicious cut-and-paste activity

A money transfer company used Quantum Metric to automatically detect fraudulent user behavior, saving up to $5M over a three-year period.

Quantum Metric’s out-of-the-box anomaly detection helped the fraud team at a money transfer company detect suspicious user behavior. Over 400 times a month, Quantum Metric identified users who cut and paste different usernames in rapid succession on its login page — a sign of fraudulent bot activity.

With this pattern identified, the fraud team used Quantum Metric to record the IP address and other identifiers to prevent future transactions from the same user.

Watch a 1-minute demo video of this use case: