Case Study: PSCU (Credit Union Service Organization) prevents $35M in fraud and cuts detection time 99% with Elastic

Elastic reduces risk by blocking millions of dollars in credit union fraud

PSCU, the nation’s leading Credit Union Service Organization supporting 1,500 credit unions, needed to modernize a legacy fraud detection environment that could only ingest a few siloed data sources and suffered 24-hour delays. That limitation made it hard to correlate member, transaction and contact-center signals in real time, leaving PSCU slow to detect insider and external fraud and unable to provide timely operational or disaster-response insights to its members.

PSCU standardized on the Elastic Stack—adding machine learning, alerting, Kibana and Elastic Maps—to build a real-time “Linked Analysis” fraud intelligence capability. Within days it blocked $35,000 in fraud and, over 18 months, prevented about $35 million, achieved a 99% reduction in mean time to know (MTTK), delivered instant ROI (reported 48,000% return), enabled cross‑credit‑union blacklisting of fraud rings, and improved contact-center operations and disaster preparedness.

PSCU

Jack Lynch

SVP, Chief Risk Officer and President, CU Recovery