Abstract: There is disclosed herein a computer-implemented system and method of providing wellness detect and response (WDR) security services for an enterprise, including computing, for the enterprise, a quantitative user-centric security posture, wherein computing the quantitative user-centric security posture comprises calculating, for a user, a quantitative user risk profile according to a combination of user role, user privileges, user behavior, and digital assets assigned to a user and owned by the enterprise.

Abstract: A computer-implemented method provides security services to an enterprise. The method computes, for a plurality of enterprise users, a plurality of user health scores based on respective protection statuses for a plurality of enterprise assets owned by respective users; computes, for the enterprise, an overall enterprise security status score based on the plurality of user health scores; graphically displays to an enterprise administrator the overall enterprise security status score; and presents to the enterprise administrator a plurality of action recommendations to improve the overall enterprise security status score.

Abstract: Systems and methods are directed to methods and apparatus for transferring ownership of common resources from a source entity, which owns a resource, to a destination entity, which will own the resource, in a distributed system. The method includes the source entity receiving a command to change ownership (the MOVE command), and then marking the source entity as no longer owning the common resource. The source entity then sends a MOVE command to the destination entity, which will then update its common resource ownership table to reflect that the ownership of the common resource has been transferred from the source entity to the destination entity. It is advantageous that the updating of ownership of the common resource in the source entity occur simultaneously with the dispatching of the MOVE command to the destination entity.

Abstract: Disclosed herein are system, method, and computer program product embodiments for compliance auditing using cloud based computer vision. In one aspect, a system is configured to receive, from a mobile device, a compliance audit request to at least recognize one or more products within the audit image. The system is further configured to select a first object recognition model having a first associated object recognition model identifier from a model selection list based at least on a required object recognition list, wherein the first object recognition model is configured to recognize a first set of object names within the required object recognition list. The system is further configured to request the computer vision system to perform object recognition using the first object recognition model to recognize the first set of object names within the audit image, and transmit audit result information to the mobile device.

Abstract: Disclosed herein are system, method, and computer program product embodiments for compliance auditing using cloud based computer vision. In one aspect, a system is configured to receive, from a mobile device, a compliance audit request to at least recognize one or more products within the audit image. The system is further configured to select a first object recognition model having a first associated object recognition model identifier from a model selection list based at least on a required object recognition list, wherein the first object recognition model is configured to recognize a first set of object names within the required object recognition list. The system is further configured to request the computer vision system to perform object recognition using the first object recognition model to recognize the first set of object names within the audit image, and transmit audit result information to the mobile device.

Abstract: Disclosed herein are system, method, and computer program product embodiments for compliance auditing using cloud based computer vision. In one aspect, a system is configured to visually present a set of compliance audits on a display of the mobile device. The system is also configured to receive a user selection to perform a computer vision assisted compliance audit and generate an audit image based at least on outputs received from an image acquisition component of the mobile device. The audit image is further transmitted to the mobile compliance backend system for computer vision assisted compliance auditing. The system then receives audit result information from the mobile compliance backend system, where the audit result information is visually presented on a display of the mobile device.

Abstract: Sketch completion using machine learning in a digital medium environment is described. Initially, a user sketches a digital image, e.g., using a stylus in a digital sketch application. A model trained using machine learning is leveraged to identify and describe visual characteristics of the user sketch. The visual characteristics describing the user sketch are compared to clusters of data generated by the model and that describe visual characteristics of a set of digital sketch images. Based on the comparison, digital sketch images having visual characteristics similar to the user sketch are identified from similar clusters. The similar images are returned for presentation as selectable suggestions for sketch completion of the sketched object.

Abstract: Sketch completion using machine learning in a digital medium environment is described. Initially, a user sketches a digital image, e.g., using a stylus in a digital sketch application. A model trained using machine learning is leveraged to identify and describe visual characteristics of the user sketch. The visual characteristics describing the user sketch are compared to clusters of data generated by the model and that describe visual characteristics of a set of digital sketch images. Based on the comparison, digital sketch images having visual characteristics similar to the user sketch are identified from similar clusters. The similar images are returned for presentation as selectable suggestions for sketch completion of the sketched object.