The present disclosure relates to techniques for collection and processing of data over a network, and in particular to in providing generalized analysis for preserving privacy of data sources. In some embodiments, a system receives a request for analytical data made by a requester, wherein the request includes: information for identifying one or more data source devices to be queried for input data, a type of data processing to be performed on the input data for generating the analytical data, and a data type for the analytical data. In response to receiving the request, the system causes the one or more data source devices to be queried for the input data. The system causes a response that includes the analytical data to be sent to the requester. Other embodiments are described throughout the present disclosure.

A system comprises a communications module; at least one processor coupled with the communications module; and a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to provide, via the communications module, a first encryption key of an encryption key pair to a client device; receive, via the communications module and from a conversation agent server, a fulfillment request based on a natural language input transmitted from the client device to the conversation agent server; determine that the fulfillment request includes a request for personal data; obtain the requested personal data; encrypt the personal data with a second encryption key of the encryption key pair; and provide, via the communications module and to the conversation agent server, the encrypted personal data for transmission to the client device.

Data can be automatically anonymized in a distributed storage system. For example, a system can receive a notification indicating that an object is stored in a non-persistent bucket of a distributed storage system. The system can read the object from the non-persistent bucket in response to receiving the notification. The system can generate an anonymized version of the object by performing one or more anonymization operations with respect to the object. The system can store the anonymized version of the object in a persistent bucket of the distributed storage system. The system can then transmit a command for causing the object to be removed from the non-persistent bucket.

A method for generating an electronic file associated with health care professionals (HCPs). The method includes receiving health information from a covered entity computing system and a file generation request from a user computing device. The method further includes matching HCP information with the health information and determining one or more statistical values based on at least one of the matched HCP information or the matched health information. The method further includes generating the electronic file including the one or more statistical values and at least a portion of the matched HCP information and providing the file to the destination address of the file generation request. The electronic file is generated as the file type identified by the file generation request, and is structured based on at least one of the file generation request or the file destination.

Corporate information technology (IT) networks can protect sensitive data sent to computers located outside of the corporate IT network. For example, a computer located outside of the corporate IT network may receive a message that instructs the computer to operate in a data protection mode in which the computer reduces a frame rate of a monitor of the computer from a first frame rate to a lower second frame rate. In this example, the computer receives sensitive information that includes sensitive visual content to be displayed on the monitor and displays the sensitive visual content on the monitor configured to operate at the second frame rate.

The present system relates a platform for addressing the optimal privacy-accuracy trade-off in the revelation of a user's valuable information to a third party. Specifically, the present system formalizes the privacy-accuracy trade-off in a precise mathematical framework, wherein mathematical formalization captures user's privacy preference with a single parameter. The system possesses a revelation method of user data that is optimal, in the sense of abiding by user's privacy preference while providing the most accurate description to third party subject to the aforementioned privacy preference constraint.

Various embodiments provide for tag-based application of a masking policy, which can be used in connection with a data platform. In particular, various embodiments enable enforcement of one or more masking policies against an entity (e.g., object) of a data platform, such as a database, a table, a row, or a column, based on one or more tags associated with the entity.

A method and apparatus for enforcing privacy within one or more memories of a data storage system are disclosed. In one embodiment, sensor data containing personally identifiable information (PII) is provided to a memory. In some embodiments, the memory of disclosed systems and methods may be volatile, non-volatile, or a combination. Within the memory, PII is detected in some embodiments by AI-based computer vision, voice recognition, or natural language processing methods. Detected PII is obfuscated within the memory prior to making the sensor data available to other systems or memories. In some embodiments, once PII has been obfuscated, the original sensor data is overwritten, deleted, or otherwise made unavailable.

The invention relates generally to systems and methods for a medical data marketplace where de-identified medical data can be offered for sale or licensing, and prospective customers can search for the medical data using various criteria. The marketplace facilitates clinical research activities, clinical trials, medical research, medical technology development, and the like, while preserving HIPPA privacy protections, and allows medical data owners to monetize the data in an efficient manner.

Computer-implemented methods and systems of updating user identifiers in an image-sharing environment include features for facilitating blocking, permitting, sharing and/or modifying content such as images and videos. User identification vectors providing data representative of a user and information about one or more facial characteristics of the user are broadcasted by a modular computing device. Information about one or more additional characteristics of the user (e.g., body characteristics and/or contextual characteristics) as determined from images of the user obtained by one or more image capture devices are received. An updated user identification vector including the information about one or more additional characteristics of the user is stored at and subsequently broadcasted by the modular computing device.