大数据和AI驱动的反欺诈模型体系建设实践

Big Data and Al-driven Anti-fraud Model System Construction Practice

在数字化转型的大背景下,针对现阶段电信诈骗骚扰高发的态势,需要积极探索大数据与AI模型相结合的反欺诈数字化创新实践。通过聚焦和分析存量用户开卡、使用、换机等行为数据,构建用户特征画像、识别模型和检出规则,精准定位高风险用户并提前对其进行管控。

In the context of digital transformation,in view of the current high trend of telecom fraud and harassment among operators,we actively explore the practice of anti-fraud digital innovation combining hig data and AI model.By focusing on and analyzing the behavior data of the existing users,such as card opening,use and replacement of the machine,the user feature portrait,identification model and detection rules are constructed to accurately locate the high-risk users and control them in advance.