Abstract: Techniques are provided for providing multi-factor authentication with Uniform Resource Locator (URL) validation (MFAUV). One of the multiple authentication factors used may include a unique, user-specific URL that is sent to the user within a message. In this way, the user may simply click on, or otherwise execute or select, the provided URL, directly from within the message in which the URL is provided.

Abstract: Techniques are provided for providing multi-factor authentication with Uniform Resource Locator (URL) validation (MFAUV). One of the multiple authentication factors used may include a unique, user-specific URL that is sent to the user within a message. In this way, the user may simply click on, or otherwise execute or select, the provided URL, directly from within the message in which the URL is provided.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: Techniques are provided for providing multi-factor authentication with Uniform Resource Locator (URL) validation (MFAUV). One of the multiple authentication factors used may include a unique, user-specific URL that is sent to the user within a message. In this way, the user may simply click on, or otherwise execute or select, the provided URL, directly from within the message in which the URL is provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for p providing a risk response and communication system. An embodiment operates by determining that a workflow associated with an organization indicates an action to be taken by a role within the organization upon the detection of an organizational risk. An organizational risk is detected. Contact information associated with the role is determined, wherein the contact information includes a user account. A message notifying the user account associated with the role of the organizational risk is sent, wherein the notification includes an indication to take the action. It is determined whether a response indicating the action has been completed is received within a time threshold. The user account is monitored until either the response is received or the expiration of the time threshold.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: Techniques are provided for providing multi-factor authentication with Uniform Resource Locator (URL) validation (MFAUV). One of the multiple authentication factors used may include a unique, user-specific URL that is sent to the user within a message. In this way, the user may simply click on, or otherwise execute or select, the provided URL, directly from within the message in which the URL is provided.

Abstract: In one general aspect, a system and method are described for generating a classification model to determine predictive user behavior. The method may include obtaining data from a mobile network provider. The data including a plurality of utilization metrics pertaining to a plurality of mobile devices carrying out a plurality of network interactions, the plurality of mobile devices being associated with a plurality of users. The method may also include categorizing the data into a plurality of Internet domains associated with the data and determining a plurality of patterns in the data. The method may further include determining an additional pattern in the data, and generating a plurality of rules based on the plurality of patterns and the additional pattern.

Abstract: A method and corresponding apparatus configured to receive data from a plurality of wireless devices. The collected data includes recorded activity at the wireless devices. The method includes analyzing the collected data to produce demographic data. The analyzing includes calculating, based on the collected data, probabilities of individual steps in a path. Each step represents a visit to a website in the path or a physical location in the path. The demographic data is supplied to a data consumer device.

Abstract: A method and corresponding apparatus that is configured to receive data from a data producer (such as for example a telecommunications provider like a mobile operator); process (e.g., analyze, aggregate, etc.) the received data; and supply aspects of the results of the processing to a data consumer through for example an array of user interfaces.