Abstract: An audio file authentication system configured to extract a plurality of audio features for a plurality of raw audio files containing a digital recording of a specific user's voice, provide an authenticated audio file that includes a digital recording the specific user's voice based on the authentication information for the specific user, generate a parent hash key and sequential child hash keys that are unique to the authenticated audio file, and generate a processed audio file in which the parent hash key and each of the sequential child hash keys is inserted sequentially as data within the audio gaps of the audio file.

Abstract: A device and method of authentication includes pairing a card to a mobile electronic device and a wearable device. A machine learning model is trained by obtaining first received signal strength indicator (RSSI) data from the card, the mobile electronic device, and the wearable device at calibrated distances. A first estimated proximity radius encompassing the card, the mobile electronic device, and the wearable device is calculated. The first estimated proximity radius is classified to be within a threshold. Upon receipt of a request to authorize a request, second RSSI data from the card, the mobile electronic device, and the wearable device is obtained. A second estimated proximity radius encompassing the card, the mobile electronic device, and the wearable device is calculated. Using the trained machine learning model, the second estimated proximity radius is determined to be within the threshold. Authentication is then complete.

Abstract: Systems, apparatuses and methods may provide for technology to store hardware details associated with a plurality of hardware components of a computing device. The technology further extracts a first hardware identifier from first authentication data received from the computing device, where the first hardware identifier is associated with a first hardware component of the computing device, and determines whether to validate the first hardware component based on a comparison of the first hardware identifier to a first hardware detail of the hardware details.

Abstract: Systems and methods are provided for determining if an e-mail originating from an external source is deemed malicious and thereby preventing an out of office e-mail reply. One example method includes receiving, at a computing device of a service provider, an e-mail identified as originating from an external source, scanning the e-mail to identify at least one parameter only when an out of office reply is setup by a recipient of the e-mail, comparing the at least one scanned parameter to a set of known parameters, calculating a score of the e-mail based on the comparison of the at least one parameter to a set of known parameters, determining the e-mail to be a malicious e-mail if the score exceeds a threshold value and blocking an out of office reply based on the threshold value.

Abstract: Embodiments provide methods and systems for sharing a user consent associated with user consent among applications. Method performed by server system includes storing consent token associated with user in a database based upon receiving consent from the user on the first application to utilize user credential data for subsequent transactions in connection with interaction between a user device and a first application service provider. The method includes receiving a request to access the consent token associated from a second application service provider associated with a second application accessible on the user device, determining whether the second application service provider is able to access the consent token associated with the first application based on access level data set by the first application service provider of the first application for accessing the consent token and allowing access of the consent token to the second application based on the determining step.