Case Study: Fraud.net (customer) increases approvals and reduces chargebacks with Fraud.net Account AI (solution)

A Fraud.net Case Study

Preview of the Fraud.net Case Study

Fraud.net - Customer Case Study

Fraud.net, acting as the customer, needed to detect and manage account-level fraud across the entire customer lifecycle—covering logins, applications, transactions, device changes and PII updates—while reducing chargebacks and keeping friction low for legitimate users. To meet that challenge they implemented Fraud.net’s Account AI solution.

Fraud.net deployed Account AI to collect and enrich event and customer data with collective intelligence, custom ML models, device fingerprinting and third‑party marketplace data, then assess and act with customizable case management and real‑time risk scores. The Fraud.net solution was implemented in under 30 days, delivers risk scores in less than 300 milliseconds, improved the experience for 99+% of trusted customers, and led to approving more good orders and fewer chargebacks.


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Fraud.net

Marketing Team


Fraud.net

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