Leveraging Machine Learning to Create a Reliable Anti-Fraud System

Abstract

For FinTech companies with high turnover, fraud and abusive customer behavior are common challenges that degrade product quality or exploit vulnerabilities. I propose a framework with key strategies that achieve 80% success with just 20% effort, effectively combating unwanted user actions.