Machine learning algorithms are efficient in detecting fraudulent behavior with anomaly detection of data. The power of AutoML-driven fraud detection solutions is derived from their ability to process large sets of data. The general rule is the more data is better, which consequently improves the accuracy and effectiveness of the analysis. B2Metric uses several data sources, both internal and external, to help identify fraudulent behavior in real-time with its anomaly detection modules.
