Case Study: Fraud.net (customer) stops account takeovers and improves user experience with Fraud.net Login AI (solution)

Fraud.net - Customer Case Study

Fraud.net’s customer, Fraud.net — represented by an IT administrator at a mid‑size financial services organization — was facing rising account takeover, identity misrepresentation, and related fraud risks that were consuming time and jeopardizing duties to investors. They needed real‑time login screening to detect bots, proxies and risky devices, plus identity and email validation to stop unauthorized access without disrupting legitimate customers.

Fraud.net deployed its Login AI™ platform, combining collective intelligence, device fingerprinting, custom ML models and marketplace data to return explainable risk scores in under 300 milliseconds, with implementation in under 30 days and a customizable case‑management and analytics portal. Fraud.net’s solution reduced identity misrepresentation, lowered investigative time commitment for the customer, and improved the experience for 99+% of trusted users while enabling faster, data‑driven accept/deny/escalate decisions.

Fraud.net

Marketing Team