Abstract: Systems, methods, and non-transitory computer readable media are configured to perform operations comprising acquiring a plurality of reports provided by a plurality of agencies; providing the plurality of reports to a machine learning model trained based on training data; and based on the machine learning model, generating a listing of accounts referenced in the plurality of reports, the listing comprising an account including a grouping of data fields associated with a same data type and originating from different reports.

Abstract: Systems, methods, and non-transitory computer readable media are configured to perform operations comprising receiving, by a computing system, a set of prompts from an interactive voice response (IVR) system of an institution during a session; providing, by the computing system, data associated with the set of prompts to one or more machine learning models trained based on training data; and based on the one or more machine learning models, generating, by the computing system, during the session a set of responses to the set of prompts for the IVR system to at least one of a) authenticate a user and b) access targeted account data maintained by the institution through the IVR system.

Abstract: Systems, methods, and non-transitory computer readable media are configured to perform operations comprising obtaining formatted account data maintained by an entity and associated with an account of a user; accessing in real time account data associated with the account from an institution after the entity has facilitated authentication of the user with the institution; and based on a machine learning model, generating synchronized data that reflects selection of a data field of a data type from the formatted account data maintained by the entity or a data field of the data type from the account data from the institution.

Abstract: Systems, methods, and non-transitory computer readable media are configured to perform operations comprising receiving, by a computing system, selected types of identification information from a user; based at least in part on a machine learning model, determining, by the computing system, a risk level for the user; and determining, by the computing system, whether to authenticate the user with an authentication platform based on the risk level.