Case Study: Alliant Credit Union achieves real-time automated fraud detection and unified security analytics with LogRhythm

Alliant Credit Union Evolves Real-Time Fraud Detection

Alliant Credit Union, one of the largest U.S. credit unions serving about 335,000 members and managing over $9.3 billion in assets, faced a growing fraud challenge. Fraud analysts were manually correlating transactional and security data while the IT security team monitored hundreds of servers and devices with disparate tools, limiting productivity and slowing detection of fraud patterns and threats.

After a virtual proof of concept, Alliant deployed the LogRhythm Security Intelligence and Analytics Platform to consolidate machine and financial data into a single SIEM, applying custom AI rules and behavioral analytics. The solution automated real-time correlation and alerting, delivered fraud dashboards for proactive investigations, saved analysts hours of manual work, improved detection and response, and positioned the organization to move toward a near “lights-out” SOC.

Alliant Credit Union

David Rebman

Senior Cybersecurity Engineer