Abstract: A method for fraud detection and management may include a fraud detection computer program: receiving data from a plurality of sources, each data associated with a unique identifier; normalizing the data; modeling the normalized data with a trained machine learning data model; extracting features or attributes from the modeled data; generating one or more sets of weights for the features or attributes; identifying a subset of the features or attributes indicative of fraud based on the weights; enriching the subset of the features or attributes; detecting fraud based on the enriched subset of the features or attributes; and notifying one or more subscribing institutions of a fraud event for the detected fraud based on the validated subset of the features or attributes.