Abstract: Techniques are disclosed relating to determining risk associated with automated authentication decisions for a multi-factor authentication scheme. In disclosed embodiments, a server system sends requests corresponding to factors in a current multi-factor authentication procedure to a mobile device. The system receives, from the mobile device, automatically generated responses for the factors, where the responses are automatically generated at the mobile device using a machine learning model based on a current set of parameters for the current procedure and a previous set of parameters for a prior procedure. Based on a current state of the mobile device received with the automatically generated responses and prior states of the mobile device stored at the server computer system, the system determines a risk score for the automatically generated responses.

Abstract: Techniques are disclosed relating to contextual authentication across different applications based on user communications. In some embodiments, a user is preauthenticated to certain actions on a second application based on the user's communication via a first application. The user's communication via a first application provides contextual information that may be used to preauthenticate a request to perform an action on the second application. Contextual information may include the user's communication itself, communications characteristics that are determined from the user's communications, or both.

Abstract: Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request.

Abstract: Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request.

Abstract: Techniques are disclosed relating to contextual authentication across different applications based on user communications. In some embodiments, a user is preauthenticated to certain actions on a second application based on the user's communication via a first application. The user's communication via a first application provides contextual information that may be used to preauthenticate a request to perform an action on the second application. Contextual information may include the user's communication itself, communications characteristics that are determined from the user's communications, or both.

Abstract: Techniques are disclosed relating to contextual authentication across different applications based on user communications. In some embodiments, a user is preauthenticated to certain actions on a second application based on the user's communication via a first application. The user's communication via a first application provides contextual information that may be used to preauthenticate a request to perform an action on the second application. Contextual information may include the user's communication itself and/or communications characteristics that are determined from the user's communications.

Abstract: Embodiments of the present disclosure relate to authenticating user communication sessions. Other embodiments may be described and/or claimed.

Abstract: Among other things, embodiments of the present disclosure utilize messaging platforms to authenticate users seeking to access data and services offered by computing devices. Other embodiments may be described and/or claimed.

Abstract: Among other things, embodiments of the present disclosure may utilize identification information associated with a user from a variety of sources in order to authenticate the user for a particular platform. Other embodiments may be described and/or claimed.

Abstract: Techniques are disclosed relating to automating authentication decisions for a multi-factor authentication scheme based on computer learning. In disclosed embodiments, a mobile device receives a first request corresponding to a factor in a first multi-factor authentication procedure. Based on user input approving or denying the first request, the mobile device sends a response to the first request and stores values of multiple parameters associated with the first request. The mobile device receives a second request corresponding to a factor in a second multi-factor authentication procedure where the second request is for authentication for a different account than the first request. The mobile device automatically generates an approval response to the second request based on performing a computer learning process on inputs that include values of multiple parameters for the second request and the stored values of the multiple parameters associated with the first request.

Abstract: Techniques are disclosed relating to contextual authentication across different applications based on user communications. In some embodiments, a user is preauthenticated to certain actions on a second application based on the user's communication via a first application. The user's communication via a first application provides contextual information that may be used to preauthenticate a request to perform an action on the second application. Contextual information may include the user's communication itself and/or communications characteristics that are determined from the user's communications.