Detecting fraudulent sim card activity while roaming outside a telecommunications network

Abstract

The present disclosure generally relates to predicting and remediating fraudulent activity associated with a roaming SIM card. Systems described herein involve detecting potential fraud signals associated with a roaming SIM card and applying one or more machine learning models to those signals to generate a fraud prediction. In one or more examples, the potential fraud signals are detected in connection with one or more core network components of a 5G telecommunication network and provide unique insight into the network activities of a user equipment where the roaming SIM card is installed. As such, the systems described herein generate fraud predictions that take into account signals that are not necessarily indicative of fraud by themselves. Once fraud is predicted, the systems described herein execute various remediation actions to correct the fraudulent activities.