Case Study: Fintech achieves Fast, Controlled Growth with Fraud.net

Fintech Company - Customer Case Study

Fintech Company, a fast‑growing startup aiming to disrupt financial services, faced increasingly sophisticated fraud as it scaled—fraudsters were bypassing detection, manipulating controls, and hiding identities, forcing the team to divert time and resources to risk management. To address this, Fintech Company engaged Fraud.net for high‑tech risk intelligence and engineered machine‑learning risk controls.

Fraud.net implemented machine‑learning models tailored to Fintech Company and an adaptive scoring system that analyzes device, identity and behavioral signals to deliver a single risk score. The Fraud.net solution consolidated decisioning, strengthened fraud detection, reduced manual review burden, and enabled the company to pursue fast, controlled growth while protecting core processes.