Case Study: NASA Federal Credit Union achieves 40% fewer manual reviews, 85% faster review times and 20% higher fraud detection precision with DataVisor

A DataVisor Case Study

Preview of the NASA Federal Credit Union Case Study

NASA FCU Centralizes and Upgrades Fraud Intelligence to Take Down Digital Fraud

NASA Federal Credit Union, a not-for-profit financial cooperative with 240,000 members and $5.4 billion in assets, faced fragmented, department-level fraud controls that struggled to scale with digital growth. Seeking a unified, enterprise-grade approach, NASA Federal Credit Union selected DataVisor and its fraud and risk management platform to centralize detection across member applications, loans, cards, ACH, and wire transfers.

DataVisor implemented a centralized intelligence hub that combines data orchestration, supervised and unsupervised machine learning, a rules engine, a knowledge graph, and improved feedback loops to replace overlapping point solutions and enable dynamic workflows. As a result, DataVisor helped NASA Federal Credit Union cut manual-review alert volume by 40%, reduce manual review time by 85%, boost fraud-detection precision by 20%, and achieve cost savings while improving member experience.


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NASA Federal Credit Union

Doug Nahas

Chief Operating Officer


DataVisor

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