The use of technology, data analytics, rules, and machine learning models to identify potentially fraudulent activities in real time or near-real time. Effective fraud detection systems combine multiple signals—including transaction patterns, device intelligence, behavioral analytics, identity verification, and network analysis—to distinguish legitimate activity from fraud while minimizing false positives.