Case Study: Leading Global Bank achieves 400% more fraud detection and 76% reduction in manual-review costs with Fraud.net

Leading Bank Takes Fraud Prevention to the Cloud

Leading Global Bank, one of Australia’s longest established and largest banks with 80,000+ monthly website visits, faced growing fraud sophistication and an outdated, rules-based review process that forced the bank to run parallel overnight manual analyses. To modernize detection and reduce losses, the bank turned to Fraud.net for an AI-driven fraud prevention solution.

Fraud.net delivered a comprehensive risk analysis platform with a flexible, secure AI-powered rules engine and collective intelligence from billions of anonymized data points, enabling the bank to digitize overnight reviews and redeploy analysts more efficiently. The implementation by Fraud.net produced measurable gains: a 400% increase in identified fraud cases, a 33% reduction in flagged transactions, and a 76% reduction in the manual review budget.