Abstract: Embodiments of the present invention provide a system for performing misappropriation detection and prevention using Siamese Neural Networks. The system is configured for identifying initiation of a resource interaction by a user, via an interaction device, determining if the resource interaction meets criteria associated with an unauthorized interaction based on applying a filtering mechanism, determining that the resource interaction meets the criteria associated with the unauthorized interaction and flag the resource interaction, passing the resource interaction to a Siamese Neural Network to determine if the resource interaction is unauthorized, and approving or denying the resource interaction based on determining if the resource interaction is unauthorized.

Abstract: Embodiments of the present invention provide a system for performing recovery of misappropriated interactions via neuromorphic computing. The system is configured for receiving a recovery request associated with an unauthorized resource interaction from a user, extracting interaction data associated with the unauthorized resource interaction from a data repository, communicating with one or more external systems to gather third party information associated with third party entity linked with the unauthorized resource interaction, communicating with one or more internal systems to gather user recovery information associated with the user, passing the interaction data, the third party information, and the user recovery information to a Spiking Neural Network to determine if the recovery request is accurate, and processing or denying the recovery request based on determining if the recovery request is accurate.