The synthetic data is created by funneling raw data through a noise-adding algorithm to construct a new data set, one that is artificially generated. The resulting data set captures the statistical features of the original information without being able to identify individual data points. Detecting fraud can be challenging because regulations restrict how information can be shared, even within banks.