Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, which stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: The disclosure relates to a device for blocking display and/or operating contexts comprising at least one operating apparatus for detecting user interactions, and an evaluation apparatus, configured to determine a current involvement value at least on the basis of the detected user interactions. The evaluation apparatus is configured to compare the current involvement value with at least one interruption threshold value and to establish a blocking state if the current involvement value reaches the interruption threshold value. The evaluation apparatus blocks or at least restricts at least one operating context of the at least one operating apparatus. The current involvement value is increased for each detected haptic user interaction, insofar as the current involvement value has not reached or exceeded the at least one interruption threshold value and the evaluation apparatus is configured to lower, continuously or in increments of time, the current involvement value by a recovery value.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Systems and methods are provided for implementing machine learning techniques to distinguish a real identity, such as a set of identity information representing a real person, from a synthetic identity that may include portions of real identity information. Attributes regarding a target identity derived from a variety of retrieved data records may be provided as input to multiple machine learning models that generate scores associated with the potential of the target identity being synthetic. The scores may be combined and compared to a threshold to generate a determination of whether the target identity is a synthetic identity.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Systems and methods for data aggregation and processing are provided in manner that is decentralized and preserves privacy. A data aggregation and computation system may include an interface, a controller, and one or more clusters of computation nodes. The interface may receive an inquiry from a requesting entity for computing information regarding an individual based on pieces of information held by a plurality of entities. The controller may communicate an identifier for the individual to a processor system associated with each of the entities based on the inquiry. The clusters of computation nodes may each receive encrypted data fragments from each of the processor systems, the data fragments comprising unrecognizable fragments that no individual processor system can re-assemble to recover the information, perform secure, multi-party computations based on the data fragments, and generate a result based on the secure, multi-party computations for the individual.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Abstract: Features are described for efficiently and accurately provisioning content to a mobile device with limited user interaction. The features include storing a content identifier for a content element and a publication rule for the content element in a data storage device, the publication rule identifying a user to whom the content element can be provided. The features include receiving, from a mobile device, a message including the content identifier and an identifier of the mobile device. The features include querying a user data store based at least in part on the identifier to obtain user information associated with the mobile device. The features include determining that mobile device is eligible to receive the content element. The features include generating content for the mobile device based at least in part on the user information and the content element and causing display of the same via the mobile device.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: Systems and methods for verifying data including income and employment, assets, healthcare claims, clinical data, and other types of data subject to various regulatory and/or privacy restrictions.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.

Abstract: The systems and methods described herein allow consumers to lock or unlock their credit files at multiple credit bureaus in real-time or near real-time. The service may allow a consumer to provide identifying information, such as a personal identifier to lock or unlock credit files at a plurality of credit bureaus over a network. Upon receiving the personal identifier, the system may use the personal identifier to translate the identifier into a plurality of access codes for respective credit bureaus, for example by accessing a data structure, such as a database or table, that stores a personal identifier and access codes that are associated with a consumer. The system may then use the access codes to automatically initiate locking or unlocking of credit files for the consumer at the respective credit bureaus.