Described are systems and methods for outlier detection and transaction monitoring. This may include collecting corporate data, determining features, detecting relevant features, determining a system model, determining a control policy, monitoring incoming transactions, determining if an outlier alert should be sent, transmitting the outlier alert, receiving user adjudication of the fraud alerts, and feedback of the adjudication. The systems and methods may use aspects of fuzzy logic, predictive modeling, network and community detection, outlier detection, and fuzzy aggregation.