Case Study: LeoVegas Detects 10% More Fraud and Boosts Analyst Efficiency with SEON

iGaming Operator LeoVegas Uses SEON to Detect 10% More Fraud and Increase Analyst Efficiency

LeoVegas, a leading iGaming operator, partnered with SEON to tackle growing fraud challenges across its mobile casino, live casino, and sports betting businesses. The company was dealing with account takeovers, bonus abuse, fraudulent account creation, and significant manual review workload, which slowed analysts and increased operational costs.

SEON provided LeoVegas with real-time player registration monitoring, machine learning-driven rule suggestions, and flexible rule-building to improve fraud detection and streamline investigations. As a result, LeoVegas reduced manual review and data analysis time by 30% and increased fraud detection during onboarding by 10%, helping the team work more efficiently while staying ahead of evolving fraud tactics.

LeoVegas

Kay Mallia

Fraud Product Specialist