Salesforce Com, Inc.

Salesforce, Inc.

International Business Machines Corporation

Seth Holloway

William Charles Mortimore, Jr

Ian Glazer

Evan Tyler Grim

Joshua David Alexander

Josh Alexander

Alexa Staudt

Christopher M Laffoon

Julio Eloy Ruano

Abraao Lourenco

Carl A Timm, Iv

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. The approval response is automatically generated and sent without receiving user input to automate the second request.

Automating responses to authentication requests using unsupervised computer learning techniques

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. In some embodiments, the degree of preauthentication progressively increases or decreases with the degree of use on the first application; that is, the user is preauthenticated to greater or fewer portions of an authentication procedure, to perform greater or fewer actions, or to perform actions more or less critical to security, as additional information regarding the user's communication on the first application becomes available. In some embodiments, preauthentication may be revoked as additional contextual information becomes available on the first application.

Conversational authentication

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. In some embodiments, the degree of preauthentication progressively increases or decreases with the degree of use on the first application; that is, the user is preauthenticated to greater or fewer portions of an authentication procedure, to perform greater or fewer actions, or to perform actions more or less critical to security, as additional information regarding the user's communication on the first application becomes available. In some embodiments, preauthentication may be revoked as additional contextual information becomes available on the first application.

A system comprises a user interface configured to receive natural language input from a user. An input module couples to the user interface and is configured to process the received natural language input for selected words and phrases. A user skill determination module couples to the input module and is configured to determine a skill level of the user based on the selected words and phrases.

System and method for user skill determination

Growing community of inventors

Austin, TX, United States of America

Seth Holloway