Case Study: Leading Retail Banking Service Provider achieves reduced digital fraud and improved risk detection with Fraud.net

Leading Retail Banking Service Provider - Customer Case Study

Leading Retail Banking Service Provider faced a surge in mobile banking usage and new digital transaction types that increased remote-access risk and fraud exposure. To de-risk digital banking and protect new applications and transactions, the customer engaged Fraud.net and its AI-driven fraud detection platform.

Fraud.net deployed customized AI models and ensembles across multiple transaction streams to surface previously undetected fraud and optimize for specific risk outcomes. As a result, the Leading Retail Banking Service Provider improved detection accuracy, reduced fraud exposure and operational risk, and positioned itself to capture the performance and profit advantages associated with early AI adoption.