Abstract: Methods and systems are presented for providing a data control framework that enables storing, sharing, and transferring of data in a secure manner. Data files stored in data repositories are scanned. Content associated with different section of each data file is analyzed, and each section is tagged with a sensitivity level based on the content and a subject matter derived for the data file. Each data file is also assigned to a clearance classification based on an expected viewer of the data file. When sections from a first data file is being transferred to a second data file, a data control mechanism is triggered. If a particular section from the first data file is incompatible with the second data file, the data control mechanism may prevent the particular section from being transferred to the second data file, while allowing the remaining sections being transferred to the second data file.

Abstract: The method, system, and a computer program product are directed to dynamic batching of messages for network optimization, such as Quality of Service (QoS) optimization. The edge server dynamically decides which messages can be processed locally, which messages should be batched and transmitted asynchronously as a batch, and which messages should be processed synchronously. Such message processing improves the QoS of a network.

Abstract: An example method includes receiving a request for a transaction; associating the request with a user; receiving, from the user, identification information; retrieving, from a database, first stored authentication information associated with the user; retrieving, from a distributed ledger, second stored authentication information associated with the user; and determining that the received authentication information matches the first stored authentication details and the second stored authentication details and, in response, outputting, by the computing system, a proof of authentication to enable the transaction.

Abstract: An example method includes receiving a selection of an item; retrieving a user interaction history and a user profile; determining a pattern of user behavior based on the user interaction history and on the user profile; receiving a set of active promotions for the third party; receiving a set of donation-receiving organizations; receiving, from an investment provider, a set of investments; determining an amount of savings based on a comparison of the selected item to the set of active promotions; determining at least one donation-receiving organization and at least one investment based on the pattern of user behavior; and presenting, on a GUI, an interactive element that enables a user to complete a transaction involving the selected item and direct the amount of savings to the at least one determined donation-receiving organization or to the at least one determined investment.

Abstract: There are provided systems and methods for streamlined and privacy protected data flows for entity onboarding with online data platforms. An online transaction processor or other service provider may provide computing services and platforms to entities including merchants for electronic transaction processing and other account services. To onboard entities with the transaction processor, the transaction processor may provide a multistep system that includes allowing entities to specify particular needs of input/output mechanisms, configure interface buttons having a wrapper layer, and submit feedback on error logs. The transaction processor may also provide a masking service to detect, mask, and notify the entity of sensitive data exposures during onboarding and usage of merchant systems. Additionally, the transaction processor may provide a sandbox environment for the entity to test different accounts having different permissions.

Abstract: In an approach to interpreting and summarizing online terms of use, a computer receives a terms of use agreement from a data source and a request for interpretation of the terms of use agreement from a user. A computer categorizes the terms of use agreement into one or more categories based on a type of data source of the terms of use agreement. A computer ranks one or more words in the terms of use agreement based on the categorization and on one or more additional terms of use agreements of the type of data source. A computer generates a summary of the terms of use agreement based on the ranking. A computer displays the summary of the terms of use agreement to the user. A computer receives input from the user associated with consent to the terms of use agreement. A computer stores the input.

Abstract: In an approach to interpreting and summarizing online terms of use, a computer receives a terms of use agreement from a data source and a request for interpretation of the terms of use agreement from a user. A computer categorizes the terms of use agreement into one or more categories based on a type of data source of the terms of use agreement. A computer ranks one or more words in the terms of use agreement based on the categorization and on one or more additional terms of use agreements of the type of data source. A computer generates a summary of the terms of use agreement based on the ranking. A computer displays the summary of the terms of use agreement to the user. A computer receives input from the user associated with consent to the terms of use agreement. A computer stores the input.