Abstract: An apparatus (100) for real-time detection of fraudulent digital transactions is disclosed. The apparatus comprises: a transceiver module arranged to receive information data of a digital transaction; a model generator module (102) arranged to dynamically generate a predictive model for fraud detection based collectively on historical information data relating to identified fraudulent transactions and the received information data; and a fraud detection module (104) having a plurality of anomaly detection modules (1042, 1044, 1046) arranged to respectively process the received information data differently to generate a plurality of scores, which are aggregated to provide an aggregated score to enable real-time determination of whether the digital transaction is a fraudulent digital transaction. A first anomaly detection module (1042) is configured to process the received information data using the predictive model to generate a first score. A related method is disclosed too.