Abstract: In some implementations, an authorization device generate a decision to reject an authorization request that includes a credential associated with a user based on one or more inconsistencies between entity information provided in the authorization request and authorized entity information associated with the credential. The authorization device may transmit, to a biometric-enabled device associated with the user, a message that causes the biometric-enabled device to display a prompt indicating the one or more inconsistencies between the entity information provided in the authorization request and the authorized entity information associated with the credential. In some implementations, the prompt may further enable the user to provide a biometric input to authorize the entity information provided in the authorization request.

Abstract: In some implementations, a device may receive, via an application, a record log associated with an account that is registered to the device. The device may determine that a user interface of the application is presenting the record log on a display of the device. The device may obtain record metadata that identifies a characteristic of a record of the record log. The device may analyze a local data structure of the device to identify image data associated with an event involving the record. The device may determine that the record is associated with the event based on the characteristic and image metadata associated with the image data, wherein the image metadata is stored in the local data structure in association with the image data. The device may cause the user interface to present, in association with the record, an image associated with the image data on the display.

Abstract: Methods and systems are described herein for synchronizing communication records in computer networks. For example, the methods and systems may determine whether or not a first communication relates to a second and generate a recommendation that the communications relate to a single communication. In particular, the methods and systems described herein describe synchronizing communication records in computer networks based on detecting patterns in categories of metadata. For example, the methods and systems retrieve specific types of metadata and compare this metadata between communications in order to synchronize and/or deduplicate them.

Abstract: Systems and methods for adaptive token verification are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a verification model to verify tokenized requests based on system identifiers. The operations may include receiving a tokenized request from an external system, the request comprising a system identifier of the external system. The operations may include generating output of the verification model based on the system identifier, and, based on the output, performing one of granting the request or blocking the request.

Abstract: Systems and methods for adaptive token verification are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include training a verification model to verify tokenized requests based on system identifiers. The operations may include receiving a tokenized request from an external system, the request comprising a system identifier of the external system. The operations may include generating output of the verification model based on the system identifier, and, based on the output, performing one of granting the request or blocking the request.