Case Study: Azul achieves 89% fraud detection and a frictionless customer experience with Nethone

How Nethone can ensure a frictionless customer UX and revenue growth while providing advanced fraud prevention

Azul, Brazil’s largest domestic airline, turned to Nethone to strengthen its anti-fraud capabilities while preserving a frictionless customer experience. Facing high false positives, growing volumes of time‑consuming manual reviews, and the limits of rules‑based KYC systems, Azul needed an automated, intelligent solution—so they implemented Nethone’s advanced fraud detection and prevention platform, including behavioral biometrics, digital fingerprinting and ML‑based signals.

Nethone deployed ML models and behavioral signals that distinguish genuine customers from fraud actors, enabling automatic authentication and blocking of fraud before it affects customers. During a fraud episode Nethone’s solution detected 89% of fraudulent transactions (versus 16% with the old rules‑based system), reduced rejections to just 1% of new transactions, cut manual review workloads and chargebacks, and improved overall customer UX.

Azul

Felipe Maia

Fraud Prevention Cordinator