← Cases
United StatesFinance and insurance2022 – ongoing

First Tech Federal Credit Union

Cross-channel fraud detection with Featurespace

Featurespace reported 84% less money lost to fraud at First Tech between 2022 and 2024

WorkingVendor case studyVendor ↗

Problem

First Tech's fraud alerts were fragmented across systems. Investigators struggled to connect activity to a complete member history.

Approach

First Tech deployed Featurespace in 2022 and introduced adaptive rules. It subsequently added machine learning that built behavioral profiles for individual members. The platform supported monitoring across payment channels.

Results

84%reduction in dollars lost to fraud during 2022–2024, according to FeaturespaceVendor case study[1]
35%reduction in alert volumes, according to FeaturespaceVendor case study[1]

Takeaway

The implementation combined adaptive rules with behavioral machine learning. The reported loss reduction covered the platform deployment rather than an isolated model change.

Categories

Business function
Finance, risk and legal
Innovation type
Process innovation
Evidence
Vendor case study

Sources

Source summaries

[1]Featurespace2026

Featurespace described First Tech's deployment and subsequent use of behavioral machine learning. It reported 84% lower fraud losses during 2022–2024 and 35% fewer alerts.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
Open case page ↗