Fraud.net
43 Case Studies
A Fraud.net Case Study
Luminess, a global beauty products company, struggled to assess risk for first‑time customers because its internal systems only evaluated people with prior transactions. To close that gap, Luminess turned to Fraud.net and its collective intelligence network/platform-as-a-service for broader, cross‑enterprise anti‑fraud insights.
Fraud.net gave Luminess access to billions of anonymized data points — including 1B+ digital identities and $50B+ of transaction history — so the company could enrich customer profiles, uncover hidden links between attributes, and make faster, more confident decisions on new customers. By integrating Fraud.net’s network into its fraud evaluation workflow, Luminess improved its ability to identify and stop fraud before losses, helping contain fraud and unlock growth.
Luminess