Abstract: This document describes systems, methods, devices, and other techniques for detecting procurement fraud in one or more procurement processes. In some implementations, a computing device receives input data representing one or more procurement processes, processes the received input data to generate a respective risk score for each procurement process, each risk score representing a likelihood that the respective procurement process is fraudulent, comprising processing the received input data using (i) one or more predetermined rules and scenarios, and (ii) atypical patterns data mined through unsupervised learning mechanisms, and provides, based on the generated risk score, output data indicating procurement processes that are likely to be fraudulent.