3 Key Machine Learning Models For Fraud Prevention

Machine learning has a clear advantage over the legacy model practices, as from various applications, fraud detection, fraud prevention, and anomaly prediction are been the foremost successful applications. As cybercriminals are becoming more intelligent in committing fraud, financial service providers in insurance, banking, money transferring apps, and E-commerce platforms are spending billions to create a protective firewall. The Machine Learning tools can help in reducing the company's cost and creating a trustworthy environment. It simultaneously increased the usage of mobile E-commerce and digital payment apps, and thus, commits of fraud. According to 2018 reports, the rate of fraudulent activities committed all over the world is 47%.