Abstract: The system comprises approving a credit application during a single http session, transmitting an encoded secure token to a web-client participating in the http session, receiving from the mobile communications device the secure token, and transmitting the transaction account data to the mobile communications device, in response to the receiving the secure token. The system may further comprise the mobile communications device decoding the secure token.

Abstract: A system includes a processing circuit including one or more processors coupled to non-transitory memory. The processing circuit is configured to: store a cookie associated with a user device of a user; receive a prefetch request based on the cookie for account information in advance of a user request for the account information; identify the user based on the stored cookie; verify the identity of the user based on a received credential regarding the user; perform asynchronous data gathering by receiving data intermittently over one or more network nodes to retrieve the account information based on the prefetch request and the verification of the identity of the user; and provide account information to an active cache of the user device that proactively updates stored account information. The account information is stored in the active cache of the user device for later retrieval.

Abstract: A system includes a first application programming interface (API), a second API, and a third API. The first API is configured to receive an input to configure a data sharing permission for a data sharing service. The second API is configured to receive, from a plurality of experience providers, an API response containing data of the user. The third API is configured to classify the data according to a classification scheme such that the data of the user is classified into a plurality of overlapping data categories, generate a user data corpus comprising the classified data of the user, and provide the user with selectable data categories based on the user dataset.

Abstract: Techniques are described that include detecting customer personal information within any appropriate set of data, such as customer communications produced by customer-facing services offered by an organization. Once detected, the customer personal information may be tokenized within the customer communications, making the data appropriate for external systems, such as cloud-hosted applications. The disclosed techniques include a masking service that may be plugged into an on-premises pipeline of any customer-facing service that makes requests to an off-premises, cloud-hosted application. The masking service may apply rule-based detection and/or machine learning-based detection to detect both structured and unstructured customer personal information included in customer communications. The masking service may further tokenize or otherwise obfuscate or replace the detected customer personal information.

Abstract: An example computer system for migration of information can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to create: a synchronization module programmed to migrate data from a source data store to a target data store, wherein the synchronization module is configured to control how much of the data is migrated; and a validation module programmed to validate the data between the source data store and the target data store.

Abstract: A system includes a first application programming interface (API), a second API, and a third API. The first API is configured to receive an input to configure a data sharing permission for a data sharing service. The second API is configured to gather data of a user and receive, from a plurality of experience providers, an API response containing data of the user, and aggregate the data of the user. The third API is configured to classify the aggregated data according to a classification scheme where the classification scheme comprises rules for multiple levels of granularity such that the data of the user is classified for a plurality of overlapping data categories, generate a user data corpus comprising the classified aggregated data of the user, and provide the user with selectable data categories based on the user data corpus.

Abstract: A system, method, and computer-readable media for registration and preference configuration. One system includes a non-transitory memory storing instructions that, when executed by one or more processors, cause the one or more processors to receive, via a graphical user interface (GUI) from a user device, a user profile configuration setting and a designation of at least one experience provider with which to share user data. The one or more processors further to store, via associate linking, the user profile configuration setting and the designation of the at least one experience provider with which to share the user data. The one or more processors further to generate an access token including a configuration enabling access to the data protection system and a mapping to configuration settings for the at least one experience provider. The one or more processors further to provide the access token to the at least one experience provider.

Abstract: A system is provided that comprises a processing circuit communicably coupled with various circuits, and the processing circuit having at least one processor coupled to at least one memory storing instructions that, when executed by the at least one processor, cause the processing circuit to provide a permission set for data sharing to an experience provider, receive an offer as part of a request for access to data of the user from an experience provider computing system, reconfigure the permission set based on receiving an input from the user indicating the user accepts the offer, generate an access token that serves as a proxy to the permission set associated with the experience provider, provide the generated access token to the experience provider computing system, receive a subsequent request for data of the user from the experience provider computing system, and provide data of the user based on the access token.

Abstract: A system for user registration and preference configuration for a data sharing platform is provided. The system comprises a database system containing data relating to a plurality of users and user profile configuration settings relating to the plurality of users and memory storing instructions that, when executed by one or more processors, cause the one or more processors to generate a graphical user interface and provide the graphical user interface over a network to a user device, receive a user profile configuration setting and a designation of at least one experience provider with which to share data of the user, and store, in the database system via associate linking, the user profile configuration setting and the designation of the at least one experience provider with which to share data of the user.

Abstract: A system is provided. The system comprises a processing circuit communicably coupled with various circuits, and the processing circuit having at least one processor coupled to at least one memory storing instructions that, when executed by the at least one processor, cause the processing circuit to receive an input from a user identifying an experience provider for data sharing, configure a permission set for the experience provider, receive a request for access to data of the user from a computing system, authenticate the request for access to data of the user, generate an access token that serves as a proxy to the stored permission set associated with the experience provider, provide the generated access token to the computing system, receive a subsequent request for data of the user from the computing system, and provide data of the user as identified by the access token.

Abstract: Techniques are described that include detecting customer personal information within any appropriate set of data, such as customer communications produced by customer-facing services offered by an organization. Once detected, the customer personal information may be tokenized within the customer communications, making the data appropriate for external systems, such as cloud-hosted applications. The disclosed techniques include a masking service that may be plugged into an on-premises pipeline of any customer-facing service that makes requests to an off-premises, cloud-hosted application. The masking service may apply rule-based detection and/or machine learning-based detection to detect both structured and unstructured customer personal information included in customer communications. The masking service may further tokenize or otherwise obfuscate or replace the detected customer personal information.

Abstract: A system includes a processing circuit including one or more processors coupled to non-transitory memory. The processing circuit is configured to: store a cookie associated with a user device of a user; receive a prefetch request based on the cookie for account information in advance of a user request for the account information; identify the user based on the stored cookie; verify the identity of the user based on a received credential regarding the user; perform asynchronous data gathering by receiving data intermittently over one or more network nodes to retrieve the account information based on the prefetch request and the verification of the identity of the user; and provide account information to an active cache of the user device that proactively updates stored account information. The account information is stored in the active cache of the user device for later retrieval.

Abstract: Techniques are described that include detecting customer personal information within any appropriate set of data, such as customer communications produced by customer-facing services offered by an organization. Once detected, the customer personal information may be tokenized within the customer communications, making the data appropriate for external systems, such as cloud-hosted applications. The disclosed techniques include a masking service that may be plugged into an on-premises pipeline of any customer-facing service that makes requests to an off-premises, cloud-hosted application. The masking service may apply rule-based detection and/or machine learning-based detection to detect both structured and unstructured customer personal information included in customer communications. The masking service may further tokenize or otherwise obfuscate or replace the detected customer personal information.

Abstract: A system, method, and computer-readable media for compliance tracking and remediation across a data sharing platform is provided. One method includes enabling a security tool and monitoring, via the security tool using at least one API, a website of an experience provider accessed by one or more user devices. Further the method includes detecting, via the security tool, a noncompliance event based on content accessed by the one or more user devices and served by the experience provider that is noncompliant with at least one data sharing preference and providing, using the at least one API, a pop-up on a graphical user interface (GUI) of a client application. Further the method includes receiving a remediation selection and remediating, via the security tool using the at least one API, the detected noncompliance event according to the remediation selection based on executing an API call.

Abstract: A system including a network interface circuit and a processing circuit. The processing circuit includes one or more processors coupled to non-transitory memory. The processing circuit is configured to receive a request for account information. The account information relates to an account of a user. The processing circuit is further configured to perform asynchronous data gathering to retrieve the account information based on the request. The processing circuit is further configured to provide the account information to an active cache of a user device. The account information is stored in the active cache of the user device for later retrieval.

Abstract: A method for compliance tracking and remediation across a data sharing platform is provided. The method comprises receiving, by a computing system associated with a platform provider, an input of a user to enable a data security tool of the platform provider, enabling, by the computing system, the data security tool, cataloging, by the computing system and via the data security tool, content accessed by the user and associated with an experience provider, detecting, by the computing system, a noncompliance event, the noncompliance event based on content accessed by the user and served by the experience provider that is noncompliant with at least one data sharing preference of the user, and remediating, by the computing system, the detected noncompliance event.

Abstract: A system including an application programming interface (API) configured to provide a plurality of selectable representations of categories associated with an experience provider, receive, from the user device, a user selection of a selectable representation of at least one category from the categories, determine one or more un-selected categories including a difference between the categories displayed by the experience provider and the user selection of the selectable representation of the at least one category, prompt the user device, using a real-time negotiation between the user device and a computing system associated with the experience provider, to view at least one un-selected category displayed by the experience provider and contained in the one or more un-selected categories in exchange for compensation, and receive a selection denoting at least one of an acceptance, a denial, or the counter to view the at least one category.

Abstract: A system includes a first application programming interface (API), a second API, and a third API. The first API is configured to receive an input to configure a data sharing permission for a data sharing service. The second API is configured to gather data of a user and receive, from a plurality of experience providers, an API response containing data of the user, and aggregate the data of the user. The third API is configured to classify the aggregated data according to a classification scheme where the classification scheme comprises rules for multiple levels of granularity such that the data of the user is classified for a plurality of overlapping data categories, generate a user data corpus comprising the classified aggregated data of the user, and provide the user with selectable data categories based on the user data corpus.

Abstract: The system comprises approving a credit application during a single http session, transmitting an encoded secure token to a web-client participating in the http session, receiving from the mobile communications device the secure token, and transmitting the transaction account data to the mobile communications device, in response to the receiving the secure token. The system may further comprise the mobile communications device decoding the secure token.

Abstract: A method is provided. The method comprises receiving an input of a user to configure a data sharing permission for a data sharing service of a platform computing system, gathering data of the user, requesting data of the user according to the data held by each experience provider from a plurality, receiving an API response containing the data of the user, aggregating the data of the user gathered from a plurality of computing systems associated with the platform computing system and the data of the user received from the plurality of experience providers, classifying the aggregated data of the user according to a classification scheme, generating a user data corpus comprising the classified data of the user, storing the user data corpus in a user data repository, and providing the user with selectable data categories responsive to the input to configure the data sharing permission.