Case Study: Leading Global Bank achieves automated fraud investigations and 5X annual savings with Fraud.net

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Preview of the Leading Global Bank Case Study

Bank Automates Fraud Investigations, Accelerates Cost-Savings

Leading Global Bank struggled with a heavy manual workload—its 24/7 fraud team reviewed more than 12,000 credit and debit card transactions each month. To reduce this burden and improve detection, the bank partnered with Fraud.net and implemented its AI-powered risk-detection software to better prioritize and automate investigations.

Fraud.net’s solution halved the volume of transactions sent for manual review by flagging only the riskiest activity and delivered 99.5%+ accurate risk-score predictions. The deployment cut fraud investigation hours by 66%, produced a 4x increase in the amount of fraud proactively detected, and drove a 5x increase in annual savings from reduced fraud losses and efficiency gains.


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