Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Systems, methods, and computer-readable media are disclosed for automated sensitive information and data storage compliance verification. In one embodiment, an example method may include determining a software application stored at a database, determining software code of the software application, and determining that the software code includes a function that accesses critical user information. Example methods may include determining a risk score for the software application based at least in part on the function, and determining a compliance level for the software application based at least in part on the function.

Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.

Abstract: Various approaches discussed herein enable techniques for managing privacy with respect to location-based operations, for example by receiving point of interest (POI) data corresponding to location data such as global positioning service (GPS) data at a computing device along with various location-based rules, which when satisfied, result in attribution events being generated that indicate various characteristics associated with POIs in the POI data. The attribution events are then sent to a server without compromising the location privacy of the computing device, because the location of the computing device is not included with the attribution events.