Case Study: Top Online Payments Platform achieves 45% increase in ATO detection with DataVisor UML Solution

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Preview of the Top Online Payments Platform Case Study

Top Online Payments Platform Uses DataVisor UML Solution to Stop ATO Attacks

Top Online Payments Platform, one of the world’s largest online payments platforms, was facing a rapid rise in account takeover (ATO) incidents that harmed revenue, user trust, and brand reputation. Their existing rules and supervised ML models could not catch fast-changing, coordinated attacks launched by sophisticated fraud rings, so they engaged DataVisor and its UML Solution (Unsupervised Machine Learning Engine and Global Intelligence Network) for a proactive, scalable defense.

DataVisor deployed its UML Engine and Global Intelligence Network to view accounts and activities holistically, surface subtle coordinated patterns in real time, and block new ATO campaigns. DataVisor’s solution uncovered large fraud rings and delivered a 45% increase in ATO detection over the platform’s in-house systems while maintaining just a 0.7% false positive rate, enabling scalable, effective protection.


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