Abstract: This invention discloses systems and methods for detecting vulnerabilities in IT assets by utilizing crowdsourcing techniques. A corpus containing vulnerability data of IT assets with known vulnerabilities is established. Vulnerability data in the corpus comprises security aspects or attributes related to the IT assets. The security aspects of an IT asset constitute its attack surface which is represented as a feature vector in a feature space. A determination is made as to how similar/close a target asset whose unknown vulnerabilities are to be detected, is to the rest of the IT assets in the corpus. This determination is made based on a measure of similarity/distance between the respective feature vectors in the feature space. Based on the review of similarity results by a community of researchers/experts, a determination of unknown vulnerabilities in the target system is made.

Abstract: A method for editing content, including receiving content from content storage, calculating a score for each frame of the content based on weighted parameter scores, grouping frames into frame groups, calculating a group score for each frame group based on the scores of the frames within the frame group; selecting frame groups having a group score beyond a score threshold, comparing a total length of the selected frame groups to a target length with the system, adjusting the score threshold until the total length of the selected frame groups substantially matches the target length with the system, combining the selected frame groups into a video with the system, and sending the video to a device with the system.

Abstract: A method for editing content, including receiving content from content storage, calculating a score for each frame of the content based on weighted parameter scores, grouping frames into frame groups, calculating a group score for each frame group based on the scores of the frames within the frame group; selecting frame groups having a group score beyond a score threshold, comparing a total length of the selected frame groups to a target length with the system, adjusting the score threshold until the total length of the selected frame groups substantially matches the target length with the system, combining the selected frame groups into a video with the system, and sending the video to a device with the system.