How Machine Learning Detects Fraud: A Practical Breakdown

Machine learning detects fraud by learning the patterns of past fraudulent

transactions and flagging new transactions that match those patterns —

combining models trained on known fraud cases with anomaly-detection methods

that catch fraud patterns no one has seen before. Most production fraud