Supercharging Fraud Detection: How a Leading Financial Institution Utilizes TigerGraph for Real-Time Entity Resolution

A leading investment bank has adopted TigerGraph, a graph database and analytics platform, to improve its real-time fraud detection capabilities significantly. The financial institution's credit card business needed a scalable real-time fraud detection engine with response times of under 0.5 seconds. By leveraging TigerGraph's unique approach and customizing its algorithms, the bank was able to detect patterns indicative of suspicious activity in real-time, effectively categorizing credit card applications. The implementation of TigerGraph as a distributed cluster on the institution's premises ensured data privacy and control while providing high availability and performance. This innovative solution has helped the financial institution protect its customers from potential fraud and maintain trust in the digital age.