As digital transactions surge, FinTech companies must navigate a maze of fraud risks. In a recent AI Journal analysis, software engineer Samuel Jaja explains how machine learning models monitor multiple data points like transaction velocity and behavioral cues. For example, real-time anomaly detection helps prevent fraud, offering firms a proactive approach to risk management.