Abstract: A method includes receiving a data capture event affecting personal data of a user stored in at least one storage device of a computing system and mapped in a privacy graph database. Personal data of the user may be identified in the data capture event and classified into the data categories. In response to the data capture event, a mapping of user-centric nodes associated with the at least one user associated with other users in the privacy graph database is automatically updated using the classified personal data in the data capture event. A request by a requester for personal data of at least one specific user stored in the at least one storage device is received. The privacy graph database is queried to provide the requested personal data and locations of the requested personal data of the at least one specific user in the request stored in the computing system.

Abstract: A method includes receiving a data capture event affecting personal data of a user stored in at least one storage device of a computing system and mapped in a privacy graph database. Personal data of the user may be identified in the data capture event and classified into the data categories. In response to the data capture event, a mapping of user-centric nodes associated with the at least one user associated with other users in the privacy graph database is automatically updated using the classified personal data in the data capture event. A request by a requester for personal data of at least one specific user stored in the at least one storage device is received. The privacy graph database is queried to provide the requested personal data and locations of the requested personal data of the at least one specific user in the request stored in the computing system.

Abstract: A method includes receiving a data capture event affecting personal data of a user stored in at least one storage device of a computing system and mapped in a privacy graph database. Personal data of the user may be identified in the data capture event and classified into the data categories. In response to the data capture event, a mapping of user-centric nodes associated with the at least one user associated with other users in the privacy graph database is automatically updated using the classified personal data in the data capture event. A request by a requester for personal data of at least one specific user stored in the at least one storage device is received. The privacy graph database is queried to provide the requested personal data and locations of the requested personal data of the at least one specific user in the request stored in the computing system.

Abstract: A method includes receiving a data capture event affecting personal data of a user stored in at least one storage device of a computing system and mapped in a privacy graph database. Personal data of the user may be identified in the data capture event and classified into the data categories. In response to the data capture event, a mapping of user-centric nodes associated with the at least one user associated with other users in the privacy graph database is automatically updated using the classified personal data in the data capture event. A request by a requester for personal data of at least one specific user stored in the at least one storage device is received. The privacy graph database is queried to provide the requested personal data and locations of the requested personal data of the at least one specific user in the request stored in the computing system.

Abstract: A method includes receiving a data capture event affecting personal data of a user stored in at least one storage device of a computing system and mapped in a privacy graph database. Personal data of the user may be identified in the data capture event and classified into the data categories. In response to the data capture event, a mapping of user-centric nodes associated with the at least one user associated with other users in the privacy graph database is automatically updated using the classified personal data in the data capture event. A request by a requester for personal data of at least one specific user stored in the at least one storage device is received. The privacy graph database is queried to provide the requested personal data and locations of the requested personal data of the at least one specific user in the request stored in the computing system.

Abstract: A page structure may be used to begin validation of an embedded resource prior to the time a browser issues a request to validate the embedded resource. A page structure includes information indicating one or more embedded resources in the web page and, in some implementations, its corresponding cache characteristics. The page structure may be used to generate a validation message that indicates resources to be validated. The validation message may be sent to a server at substantially the same time that the browser begins rendering the web page. The server can then begin validating the resources indicated in the validation message by sending validation requests to an origin or other server storing the embedded resources. The server then may send the validation responses back to the client computer executing the browser so that the validation responses can be used to satisfy corresponding validation requests generated by the browser.

Abstract: A page structure may be used to begin validation of an embedded resource prior to the time a browser issues a request to validate the embedded resource. A page structure includes information indicating one or more embedded resources in the web page and, in some implementations, its corresponding cache characteristics. The page structure may be used to generate a validation message that indicates resources to be validated. The validation message may be sent to a server at substantially the same time that the browser begins rendering the web page. The server can then begin validating the resources indicated in the validation message by sending validation requests to an origin or other server storing the embedded resources. The server then may send the validation responses back to the client computer executing the browser so that the validation responses can be used to satisfy corresponding validation requests generated by the browser.