Advanced algorithms evaluate every transaction for fraud risk and take appropriate action. The system creates deep profiles based on gathered data and analyses it to make the most accurate predictions and prevent fraud attempts. Machine learning integrates historical data with streaming information and is able to make the analysis in real-time. When a machine has more data, its accuracy will improve. To imagine how useful the machine-based process is, consider that a person could check just one transaction in about 5 minutes. A machine can check larger amounts of data in no time.