Case Study: Leading Asian airline achieves 53% more fraud capture and 97% detection accuracy against ticketing, ATO, and loyalty program fraud with DataVisor

Top Airline Uses DataVisor to Defeat Ticketing Fraud, ATO, and Loyalty Program Fraud

Leading Airline Company, an airline in Asia with 160+ routes globally, faced sophisticated bot-scripted ticketing fraud, account takeovers (ATO) and loyalty program abuse that resulted in bulk fraudulent bookings, resales/cancellations, and unauthorized loyalty redemptions. They engaged DataVisor and deployed its dVector machine-learning platform and dEdge fraud-prevention SDK to detect evolving bot attacks and collect device- and browser-level intelligence.

DataVisor combined dVector’s unsupervised ML and cross-account linkage analysis with dEdge’s real-time device signals (and its Global Intelligence Network) to uncover stealthy fraud clusters and stop attacks in real time; the deployment captured 53% more fraud, achieved 97% detection accuracy, and saved about 113,000 seat-occupancy hours per year. By surfacing patterns like short session durations, shared IP subnets, and scripted booking flows, DataVisor materially reduced revenue loss and improved customer experience.