Abstract: Techniques are disclosed for predicting cybersecurity vulnerabilities automatically in IT assets/targets based on known vulnerabilities of various available technologies/products. This is accomplished by loading and linking one or more ontologies in a graph database containing vulnerability information about the technologies. The assets/targets preferably belong to a bug-bounty program. An optional discovery tool maps the attack surface of each target. A profiler collects the various technologies or traits used by the target and links them to the target. Then the graph database is queried to predict the cybersecurity vulnerabilities associated with the traits and consequently with the targets. The system is preferably implemented with a service-oriented architecture (SOA) so feedback/predictions can be provided to the user in near/real-time.

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.