梧桐反诈大数据模型

是一款面向金融机构、互联网行业及传统行业提供的企业级风险防控服务，依托运营商位置数据、实名制数据、交往圈数据等打造风控和反欺诈策略模型，一是识别信用风险人员、诈骗人员和易受骗人员，辅助金融机构控制风险；二是识别羊毛党，辅助互联网企业业务健康发展，提升企业运营效率。

This is an enterprise-level risk prevention and control service tailored for financial institutions, the internet industry and traditional industries. Leveraging operator location data, real-name authentication data, social interaction circle data and other relevant datasets, it develops risk control and anti-fraud strategic models. It has two core application scenarios: first, identifying credit-risk individuals, fraudsters and potential fraud victims to assist financial institutions in risk mitigation; second, detecting promo scalpers (users who exploit platform promotional activities for unauthorized profits) to support the healthy development of internet enterprises' businesses and improve their operational efficiency.