Abstract: This disclosure describes, in part, techniques for retrieving images based on detecting events. For instance, system(s) may detect an event, such as an event associated with a collection of images for an item. Based on detecting the event, the system(s) may determine an area within a facility, such as an inventory location, for retrieving image data. The system(s) may then determine one or more imaging devices that have field(s) of view of the area. Additionally, the system(s) may score the imaging device(s) based on visibility data associated with the imaging device(s). The system(s) may also determine occlusion data for image data generated by the imaging device(s). Using the scores and the occlusion data, the system(s) may then select image data that represents the area. The system(s) may then store the image data in one or more data stores, such as with the collection of images.

Abstract: This disclosure describes, in part, techniques for retrieving images based on detecting events. For instance, system(s) may detect an event, such as an event associated with a collection of images for an item. Based on detecting the event, the system(s) may determine an area within a facility, such as an inventory location, for retrieving image data. The system(s) may then determine one or more imaging devices that have field(s) of view of the area. Additionally, the system(s) may score the imaging device(s) based on visibility data associated with the imaging device(s). The system(s) may also determine occlusion data for image data generated by the imaging device(s). Using the scores and the occlusion data, the system(s) may then select image data that represents the area. The system(s) may then store the image data in one or more data stores, such as with the collection of images.

Abstract: A system for sanitizing an organization's network against attacker breach, including a data collector, gathering information about network hosts, an analyzer constructing the organization's network topology, a machine learning engine categorizing the hosts into organizational units and identifying key assets of the organization, a security rules engine mapping real-time data, and inferring security rules that prescribe on which specific hosts which specific credentials are permitted to be stored, and a user interface including an analyst dashboard enabling an analyst to visualize in real-time activities within the organizations' network, to automatically infer security rules for the network, to activate the security rules in the network, and to eliminate potential attack vectors for which the activated security rules are violated, and an attacker view visualizing the organization's network, identifying security rule violations across the organization's network, and enabling removal of credential-based securit

Abstract: A system for sanitizing an organization's network against attacker breach, including a data collector, gathering information about network hosts, an analyzer constructing the organization's network topology, a machine learning engine categorizing the hosts into organizational units and identifying key assets of the organization, a security rules engine mapping real-time data, and inferring security rules that prescribe on which specific hosts which specific credentials are permitted to be stored, and a user interface including an analyst dashboard enabling an analyst to visualize in real-time activities within the organizations' network, to automatically infer security rules for the network, to activate the security rules in the network, and to eliminate potential attack vectors for which the activated security rules are violated, and an attacker view visualizing the organization's network, identifying security rule violations across the organization's network, and enabling removal of credential-based securit