Abstract: A method for authenticating to a network comprising a plurality of Internet of Things (“IoT”) devices is provided. The method may include using a mobile telephone apparatus, a wrist-worn apparatus and a head-worn apparatus to monitor the level of at least one of a wearer's pulse, body temperature, voice, gait and/or other biorhythmic indicator. One of the aforementioned apparatus may operate as a hub apparatus. The method may further include using the hub apparatus to assign a federated biometric marker based at least in part on the first, second and third biometric markers. The method may also include using artificial intelligence to monitor for one or more outliers with respect to historical monitoring. Each of the one or more outliers may include a magnitude that exceeds a security threshold difference between the current magnitude and the historically monitored magnitude.

Abstract: An authentication device that includes an authentication engine configured to detect devices proximate to a terminal and to identify a user profile based on the detected one or more devices. The user profile identifies at least one of the detected devices in a device registry. The authentication engine is further configured to receive a data access request for a data resource and to identify authentication requirements for a multifactor authentication process for the user based on the detected devices. Identifying the authentication requirements includes setting types of authentication and a number of authentication levels that are used for performing multifactor authentication with the user. The authentication engine is further configured to execute the multifactor authentication process for the user, to determine whether the user has satisfied the authentication requirements, and to provide access to the data resource in response to determining the user has satisfied the authentication requirements.

Abstract: Systems, computer program products, and methods are described herein for the creation of an exposure identification and distribution system for across silo channel integration. In this way, the system allows team integration of data across rails and silos for exposure identification. As such, the system generates a centralized repository for data and a communication linkage across the various systems used for identifying exposure and manipulated for linkage via a specific taxonomy overlay. Furthermore the system also includes logic that, when identification of a potential exposure indicate occurs, the system may communicate via distribution over the rails for integration and sharing for cross entity exposure identification.

Abstract: A method for authenticating to a network comprising a plurality of Internet of Things (“IoT”) devices is provided. The method may include using a mobile telephone apparatus, a wrist-worn apparatus and a head-worn apparatus to monitor the level of at least one of a wearer's pulse, body temperature, voice, gait and/or other biorhythmic indicator. One of the aforementioned apparatus may operate as a hub apparatus. The method may further include using the hub apparatus to assign a federated biometric marker based at least in part on the first, second and third biometric markers. The method may also include using artificial intelligence to monitor for one or more outliers with respect to historical monitoring. Each of the one or more outliers may include a magnitude that exceeds a security threshold difference between the current magnitude and the historically monitored magnitude.

Abstract: A method for authenticating to a network comprising a plurality of Internet of Things (“IoT”) devices is provided. The method may include using a mobile telephone apparatus, a wrist-worn apparatus and a head-worn apparatus to monitor the level of at least one of a wearer's pulse, body temperature, voice, gait and/or other biorhythmic indicator. One of the aforementioned apparatus may operate as a hub apparatus. The method may further include using the hub apparatus to assign a federated biometric marker based at least in part on the first, second and third biometric markers. The method may also include using artificial intelligence to monitor for one or more outliers with respect to historical monitoring. Each of the one or more outliers may include a magnitude that exceeds a security threshold difference between the current magnitude and the historically monitored magnitude.

Abstract: An authentication device that includes an authentication engine configured to detect devices proximate to a terminal and to identify a user profile based on the detected one or more devices. The user profile identifies at least one of the detected devices in a device registry. The authentication engine is further configured to receive a data access request for a data resource and to identify authentication requirements for a multifactor authentication process for the user based on the detected devices. Identifying the authentication requirements includes setting types of authentication and a number of authentication levels that are used for performing multifactor authentication with the user. The authentication engine is further configured to execute the multifactor authentication process for the user, to determine whether the user has satisfied the authentication requirements, and to provide access to the data resource in response to determining the user has satisfied the authentication requirements.

Abstract: A method for authenticating to a network comprising a plurality of Internet of Things (“IoT”) devices is provided. The method may include using a mobile telephone apparatus, a wrist-worn apparatus and a head-worn apparatus to monitor the level of at least one of a wearer's pulse, body temperature, voice, gait and/or other biorhythmic indicator. One of the aforementioned apparatus may operate as a hub apparatus. The method may further include using the hub apparatus to assign a federated biometric marker based at least in part on the first, second and third biometric markers. The method may also include using artificial intelligence to monitor for one or more outliers with respect to historical monitoring. Each of the one or more outliers may include a magnitude that exceeds a security threshold difference between the current magnitude and the historically monitored magnitude.

Abstract: Systems, computer program products, and methods are described herein for the creation of an exposure identification and distribution system for across silo channel integration. In this way, the system allows team integration of data across rails and silos for exposure identification. As such, the system generates a centralized repository for data and a communication linkage across the various systems used for identifying exposure and manipulated for linkage via a specific taxonomy overlay. Furthermore the system also includes logic that, when identification of a potential exposure indicate occurs, the system may communicate via distribution over the rails for integration and sharing for cross entity exposure identification.

Abstract: Systems and methods are provided for offering customer configuration options when selling a cellular communications device. Offering to sell a cellular communications device can be done over the internet or via an in-store kiosk. The customer can configure at least one software configurable feature at the time of purchase, and the phone is delivered with the software preconfigured according to the customer's specification. Alternatively, the customer indicates one or more internal, non removable selections for the desired features of the phone, and the phone is assembled according to the customer's configuration.