• Contact us
      • Contact Us
      Have a question?
      Try speaking to one of our experts
      Contact us
      Information
      • Careers
      • Privacy Notice
      • Cookie Notice
      • Terms of Use
      • Office Locations
      Sign up for industry updates
      Stay up to date on Celent's latest features and releases.
      Sign up
      • Privacy Notice
      • Cookie Notice
      • Terms of Use
      REPORT
      First Technology Federal Credit Union: Safeguarding Members through AI and Machine Learning
      Winner of the 2025 Celent Model Risk Manager Award for Fighting Fraud
      18th June 2025
      //First Technology Federal Credit Union: Safeguarding Members through AI and Machine Learning

      In a landscape where financial institutions encounter significant challenges from sophisticated fraud schemes, First Technology Federal Credit Union (First Tech) has implemented an advanced fraud detection and prevention system. Utilizing Featurespace’s ARIC Risk Hub solution, First Tech prevented US$40 million in attempted fraud, achieving a 129% increase in prevented transactional losses in 2024 compared to 2022.

      First Tech's fraud transformation has allowed the organization to improve its fraud detection and prevention capabilities while enhancing the member experience.

      A highlight reel and a one-pager on the initiative are available for everyone.

      A full-length case study report diving into the initiative is only available to Celent's subscribers. Please log in to access the case study.

      Author
      Neil Katkov
      Neil Katkov
      Director, Risk
      Details
      Geographic Focus
      North America
      Horizontal Topics
      Risk: Banking Risk, Risk: Financial Services Risk, Risk: Fraud & Financial Crime, Risk: RegTech
      Industry
      Corporate Banking, Retail Banking
      Mentioned Company
      Visa