Case Study: a large fintech security company achieves instant fraud alerts with PuppyGraph

PuppyGraph Enhances Fintech Security with Instant Fraud Alerts

This large fintech security company struggled to build a real-time system for fraud detection using inflexible, SQL-based tools. Their existing solutions failed to deliver the required performance and limited their ability to create the complex queries needed for reviewers to effectively investigate potentially fraudulent accounts.

PuppyGraph provided a solution that enabled real-time alerting and complex investigations. The company now achieves query responses in 100–200ms for immediate alerts and in seconds for deep investigations. PuppyGraph helped them scale the system to handle several terabytes of data with plans for a significant expansion, dramatically improving their security operations.