Systems and methods for controlling data exposure using artificial-intelligence-based modeling

A system, comprising:

• one or more data processors;
• and
• a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:
• identifying a set of data privacy elements, wherein a data privacy element characterizes a feature of a computing device, and wherein a data privacy element is detectable by a network host;
• receiving a signal indicating that a computing device is requesting access to a network location;
• detecting one or more data privacy elements associated with the computing device request to access the network location;
• analyzing the set of data privacy elements, wherein an analysis is done using one or more machine learning techniques;
• identifying a constraint associated with the set of data privacy elements, wherein the constraint corresponds to one or more constraint dependencies within the set of data privacy elements that indicate a vulnerability;
• generating one or more modified data privacy elements that are consistent with the one or more constraint dependencies;
• generating an artificial profile, wherein the artificial profile is generated using the one or more modified data privacy elements based on the one or more machine learning techniques, and wherein the artificial profile is usable to identify the computing device;
• and
• establishing access to the network location with the one or more modified data privacy elements of the artificial profile, wherein the artificial profile prevents the one or more data privacy elements from being exposed to the network host.

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause a data processing apparatus to perform operations including:

• identifying a set of data privacy elements, wherein a data privacy element characterizes a feature of a computing device, and wherein a data privacy element is detectable by a network host;
• receiving a signal indicating that a computing device is requesting access to a network location;
• detecting one or more data privacy elements associated with the computing device request to access the network location;
• analyzing the set of data privacy elements, wherein an analysis is done using one or more machine learning techniques;
• identifying a constraint associated with the set of data privacy elements, wherein the constraint corresponds to one or more constraint dependencies within the set of data privacy elements that indicate a vulnerability;
• generating one or more modified data privacy elements that are consistent with the one or more constraint dependencies;
• generating an artificial profile, wherein the artificial profile is generated using the one or more modified data privacy elements based on the one or more machine learning techniques, and wherein the artificial profile is usable to identify the computing device;
• and
• establishing access to the network location with the one or more modified data privacy elements of the artificial profile, wherein the artificial profile prevents the one or more data privacy elements from being exposed to the network host.