Detect compromised merchants or terminals faster with improved accuracy so networks can take timely actions to prevent more credit cards from being compromised. Our solution generates prioritized lists of potentially compromised merchants so the network can focus the investigation on the most likely and severe compromised systems. The models identify warning signs and geographically map possible instances of Point-of-Compromise (POC) fraud to streamline investigative work. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer.