Abstract: A system and method of operation of a multimedia content management and packaging system includes an ingest unit for receiving a content object; a content data storage unit, coupled to the ingest unit, for storing the content object; a usage unit, coupled to the content data storage unit, for updating the content object based on the detection of a media reference; a scoring and aggregation unit, coupled to the content data storage unit, for updating the usage score of the content object in the content data storage unit; and a display module, coupled to the scoring and aggregation unit, for displaying the content object having the usage score above a usage score threshold.

Abstract: In some embodiments, a real-time and interactive preview of alerts is provided in a user interface. A computer system parses a set of rules that specifies an alert definition. Each rule identifies a set of observations and an alert trigger criterion based on user input in the user interface. For a rule, the computer system accesses historical data corresponding to the set of observations identified by the rule and determines, based on an analysis of the historical data, time points that trigger alerts over a time period according to the rule. The analysis is based on the alert trigger criterion identified by the rule. The computer system aggregates, based on the alert definition, the time points determined for the rule with time points determined for another rule from the set of rules. Further, the computer system generates an alert preview over the time period for presentation at the user interface.

Abstract: A customer uses a customer device to interact with an expert using a remote device in a real-time communication session. The expert drives the interactions and can activate peripherals on the customer device to capture information, which is automatically sent from the customer device to the remote device for consumption by the expert.

Abstract: Systems and methods may simulate traffic to identify malicious activity. A dynamic analysis system comprising a processor in communication with a network may receive a copy of a malware program and load the copy of the malware program into a simulated endpoint. The system may monitor simulated endpoint network traffic to or from the simulated endpoint, assess the simulated endpoint network traffic to determine a source and/or destination for the simulated endpoint network traffic and/or content of the simulated endpoint network traffic, and capture and store metadata associated with the simulated endpoint network traffic. A comparison system may compare simulated network traffic metadata to observed network traffic metadata to determine whether the metadata are statistically similar. When the metadata are not statistically similar, the system may generate a low infection confidence score. When the metadata are statistically similar, the system may generate a high infection confidence score.

Abstract: Systems and methods of classifying network traffic may monitor network traffic. Monitored traffic may be compared with a control protocol template (CPT). When a similarity between the monitored traffic and the CPT exceeds a match threshold, the monitored traffic may be associated with the CPT.

Abstract: In some embodiments, a real-time and interactive preview of alerts is provided in a user interface. A computer system parses a set of rules that specifies an alert definition. Each rule identifies a set of observations and an alert trigger criterion based on user input in the user interface. For a rule, the computer system accesses historical data corresponding to the set of observations identified by the rule and determines, based on an analysis of the historical data, time points that trigger alerts over a time period according to the rule. The analysis is based on the alert trigger criterion identified by the rule. The computer system aggregates, based on the alert definition, the time points determined for the rule with time points determined for another rule from the set of rules. Further, the computer system generates an alert preview over the time period for presentation at the user interface.

Abstract: Systems and methods may determine suspicious network traffic. A monitoring system comprising a processor in communication with a network may monitor network traffic to or from an asset associated with the network. The monitoring system may assess the network traffic to determine a source and/or destination for the network traffic anchor content of the network traffic. The monitoring system may determine whether the network traffic is suspicious network traffic based on the assessed source and/or destination and/or content. When the network traffic is determined to be suspicious network traffic, the monitoring system may capture metadata associated with the suspicious network traffic and store the metadata in a database in communication with the processor. When the network traffic is not determined to be suspicious network traffic, the monitoring system may disregard metadata associated with the network traffic.

Abstract: Systems and methods of classifying network traffic may monitor network traffic. Monitored traffic may be compared with a control protocol template (CPT). When a similarity between the monitored traffic and the CPT exceeds a match threshold, the monitored traffic may be associated with the CPT.

Abstract: Systems and methods may use historical analysis to identify malicious activity. A discovery/recovery system may comprise a processor in communication with a network and in communication with a database. The discovery/recovery system may gather filtered historical network data associated with an asset associated with the network. The discovery/recovery system may analyze the filtered historical network data to determine whether a subset of the filtered historical network data is associated with a malware infection of the asset.

Abstract: Systems and methods of classifying network traffic may monitor network traffic. Monitored traffic may be compared with a control protocol template (CPT). When a similarity between the monitored traffic and the CPT exceeds a match threshold, the monitored traffic may be associated with the CPT.

Abstract: A customer uses a customer device to interact with an expert using a remote device in a real-time communication session. The expert drives the interactions and can activate peripherals on the customer device to capture information, which is automatically sent from the customer device to the remote device for consumption by the expert.

Abstract: Systems and methods may use automation discovery to identify malicious activity. An automation discovery system comprising a processor in communication with a network and in communication with a database may receive potentially automated network traffic data. The system may analyze the potentially automated network traffic data to determine whether the potentially automated network traffic data is likely to be automated. When the potentially automated network traffic data is not likely to be automated, the system may generate a low automation confidence score associated with the potentially automated network traffic data. When the potentially automated network traffic data is likely to be automated, the system may generate a high automation confidence score associated with the potentially automated network traffic data.

Abstract: A method of managing risk associated with at least one compromised network asset, comprising: performing processing associated with receiving evidence regarding the at least one compromised network asset; performing processing associated with assessing at least one risk associated with the at least one compromised network asset; and/or performing processing associated with prioritizing at least two compromised network assets in order to determine how to respond to the at least one risk.

Abstract: Systems and methods of classifying network traffic may monitor network traffic. Monitored traffic may be compared with a control protocol template (CPT). When a similarity between the monitored traffic and the CPT exceeds a match threshold, the monitored traffic may be associated with the CPT.

Abstract: A digital camera for capturing images and transmitting captured images over a wireless network includes a sensor for capturing images; a display for displaying at least one captured image; at least one user input for selection of at least one captured image and for selection of a wireless network; a communication interface capable of transmitting the at least one selected image over the selected wireless network; a memory for storing a password needed to utilize the selected wireless network; and a processor for controlling the transmission of the at least one selected image over the selected wireless network utilizing the stored password.

Abstract: An apparatus for enhancing media playback on a turntable, such as an audio record turntable, includes an illumination apparatus. The illumination apparatus is generally placed on the turntable's platter, beneath a record to be played. The record may be transparent or semi-transparent. The illumination apparatus includes a light source that projects light up through the record for producing a visual effect.

Abstract: Systems and methods may simulate traffic to identify malicious activity. A dynamic analysis system comprising a processor in communication with a network may receive a copy of a malware program and load the copy of the malware program into a simulated endpoint. The system may monitor simulated endpoint network traffic to or from the simulated endpoint, assess the simulated endpoint network traffic to determine a source and/or destination for the simulated endpoint network traffic and/or content of the simulated endpoint network traffic, and capture and store metadata associated with, the simulated endpoint network traffic. A comparison system may compare simulated network traffic metadata to observed network traffic metadata to determine whether the metadata are statistically similar. When the metadata are not statistically similar, the system may generate a low infection confidence score. When the metadata are statistically similar, the system may generate a high infection confidence score.

Abstract: Systems and methods may use automation discovery to identify malicious activity. An automation discovery system comprising a processor in communication with a network and in communication with a database may receive potentially automated network traffic data. The system may analyze the potentially automated network traffic data to determine whether the potentially automated network traffic data is likely to be automated. When the potentially automated network traffic data is not likely to be automated, the system may generate a low automation confidence score associated with the potentially automated network traffic data. When the potentially automated network traffic data is likely to be automated, the system may generate a high automation confidence score associated with the potentially automated network traffic data.

Abstract: Systems and methods may use historical analysis to identify malicious activity. A discovery/recovery system may comprise a processor in communication with a network and in communication with a database. The discovery/recovery system may gather filtered historical network data associated with an asset associated with the network. The discovery/recovery system may analyze the filtered historical network data to determine whether a subset of the filtered historical network data is associated with a malware infection of the asset.

Abstract: Systems and methods may determine suspicious network traffic. A monitoring system comprising a processor in communication with a network may monitor network traffic to or from an asset associated with the network. The monitoring system may assess the network traffic to determine a source and/or destination for the network traffic anchor content of the network traffic. The monitoring system may determine whether the network traffic is suspicious network traffic based on the assessed source and/or destination and/or content. When the network traffic is determined to be suspicious network traffic, the monitoring system may capture metadata associated with the suspicious network traffic and store the metadata in a database in communication with the processor. When the network traffic is not determined to be suspicious network traffic, the monitoring system may disregard metadata associated with the network traffic.