Case Study
Case Study
Published February 4, 2025
Credit Unions Fraud Management Identity
Overwhelmed by evolving fraud attacks and a heavy reliance on manual reviews, a leading credit union turned to NeuroID’s behavioral analytics to spot advanced fraudsters and stop attacks in real time.
Key Results:
White Paper
Discover where leading institutions are taking decisioning:
eBook
Discover how lenders can strengthen prime portfolio performance by combining traditional credit risk strategies with first-party fraud analytics to identify hidden risk and improve early payment default detection.
Key insights:
Infographic
A concise guide to simplifying business credit modeling with automation. Learn how microservices streamline validation, testing, and analysis to help relationship managers, credit analysts, and adjudicators reduce manual effort, improve risk visibility, and make faster, more confident lending decisions.
Report
Uncover how a coordinated fraud ring scaled into a full force ATO invasion, connecting 166 devices across nearly 300 accounts in just 30 days. Explore how specialized roles from reconnaissance to monetization worked together to bypass controls, exploit vulnerabilities, and outpace defenses, and why real time behavioral, device, and network intelligence is critical to stopping attacks early.