Arrangements for universal self-service kiosk fraud detection are provided. A request for a transaction may be received via a self-service kiosk. The financial institution associated with the transaction may be identified as part of a consortium of financial institutions. Accordingly, a machine learning model particular to the consortium may be used to analyze the transaction. The model may output a determination of whether fraud or potential fraud exists in the transaction. In some examples, the machine learning model may be trained using historical transaction data from one or more financial institutions that are part of the consortium. If fraud is detected, one or more security actions associated with the transaction may be identified and executed. Further, one or more additional self-service kiosks that may be impacted by the fraud may be identified and security actions may be identified and transmitted to the one or more additional self-service kiosks for execution.