Abstract: The methods and systems relate to improvements to threat modeling systems through the use of crowdsourcing. Specifically, the methods and systems relate to generating recommendations based on crowdsourced threat modeling contributions. For example, the methods and systems automate the threat modeling process by leveraging data in order to drive consistent and measurable quality of threat models and enable threat models to provide aggregated views of risk concentration at any altitude.

Abstract: Methods and systems generating real-time notifications of software application importance based on current processing requirements. The method includes receiving a first dataset, wherein the first dataset comprises recovery time estimates for processing requirements. The method includes receiving a second dataset, wherein the second dataset comprises second recovery time estimates for applications. The method includes receiving a third dataset, wherein the third dataset comprises dependencies between processing requirements and applications. The method determines many-to-many relationships between the processing requirements and applications based on the dependencies. The method inputs the many-to-many relationships into a machine learning model to identify importance metrics for each application. The method generates, for display on a user interface, a ranking of the applications in order of importance metric.

Abstract: The methods and systems relate to improvements to threat modeling systems through the use of crowdsourcing. Specifically, the methods and systems relate to generating recommendations based on crowdsourced threat modeling contributions. For example, the methods and systems automate the threat modeling process by leveraging data in order to drive consistent and measurable quality of threat models and enable threat models to provide aggregated views of risk concentration at any altitude.

Abstract: The methods and systems relate to improvements to threat modeling systems through the use of crowdsourcing. Specifically, the methods and systems relate to generating recommendations based on crowdsourced threat modeling contributions. For example, the methods and systems automate the threat modeling process by leveraging data in order to drive consistent and measurable quality of threat models and enable threat models to provide aggregated views of risk concentration at any altitude.

Abstract: The methods and systems relate to improvements to threat modeling systems through the use of crowdsourcing. Specifically, the methods and systems relate to generating recommendations based on crowdsourced threat modeling contributions. For example, the methods and systems automate the threat modeling process by leveraging data in order to drive consistent and measurable quality of threat models and enable threat models to provide aggregated views of risk concentration at any altitude.

Abstract: A power system arrangement is disclosed. The power system arrangement may include a power source, a power load, a power-transfer unit configured to transmit energy from the power source to the power load, a lubrication system configured to deliver lubrication fluid to the power system, wherein the lubrication system may include a first tank for storing lubrication fluid, and a support structure configured to support the power source, the power load, and the first tank. The power source, the power load, and the first tank may be coupled to the support structure substantially in series along a longitudinal axis.

Abstract: A power system arrangement is disclosed. The power system arrangement may include a power source configured to delivery energy, a power load configured to receive energy from the power source, a lubrication system configured to deliver lubrication fluid through the power system, wherein the lubrication system may include a tank for storing lubrication fluid, and a support structure configured to support the power source, the power load, and the tank. The power source, the power load, and the tank may be coupled to the support structure substantially in series along a longitudinal axis.