Abstract: Systems and methods are described for identifying computer risk. A system may receive a set of input signals from independent sources. The system may use a header tracing component to discover and manage service dependencies and maps based on the input signals. The system may then configure new content sources or modify existing content sources based on service dependencies and maps. After configuration, the system may detect configuration, and setup monitoring of alert rules.

Abstract: Systems and methods are described for monitoring third party services. A system may receive a set of input signals from third-party sources. The system may characterize rules and models for detecting organizational attributes based on the input signals to identify computer threats, attacks, performance bottlenecks, or availability issues, and other indicators of potential risk for an organization. The system may characterize the rules and models based on gaps in coverage, system updates, and consistency across multiple entities.

Abstract: A ML-based architecture for network monitoring and security monitoring. Illustratively, the ML-based architecture obtains a set of inputs from a wide variety of input sources, which may be generally described as input signals. The input signals can include natural language-based instructions or statements related to network monitoring, security monitoring, or a combination thereof. The ML-based architecture can include one or more ML models, such as LLM models, that are configured to process the input signals and identify network security processing actions to be implemented by the ML-based architecture. The ML-based architecture can also include one or more ML models, such as LLM models, that are configured to process processing results from the network security processing actions and generate natural language outputs.

Abstract: Systems and methods are described for monitoring third party services. A system may receive a set of input signals from third-party sources. The system may characterize rules and models for detecting organizational attributes based on the input signals to identify computer threats, attacks, performance bottlenecks, or availability issues, and other indicators of potential risk for an organization. The system may characterize the rules and models based on gaps in coverage, system updates, and consistency across multiple entities.

Abstract: Systems and methods are described for identifying computer risk. A system may receive a set of input signals from independent sources. The system may use a header tracing component to discover and manage service dependencies and maps based on the input signals. The system may then configure new content sources or modify existing content sources based on service dependencies and maps. After configuration, the system may detect configuration, and setup monitoring of alert rules.

Abstract: Systems and methods are described for identifying computer risks. A system may receive a set of input signals from third-party sources. The system may identify computer risks based on the input signals using a hypothesis generation component. The hypothesis generation component may be designed to identify computer risk based on a current state of a network environment, changes to a risk profile, and critical attack path predictions. The hypothesis generation component may also be designed to evaluate the identified computer risks to prioritize the computer risks, identify a threat hunting hypothesis for each type of risk, and identify migration techniques for the prioritized risks.

Abstract: A workout garment in accordance with the present invention includes a central section and opposing arm sections that extend outwardly from an upper portion of the central section. Each arm section further comprises a strap portion that is fixed to the upper portion of the central section on one end, and that further merges into a bell portion at the other end. The arm sections have an increasing taper so that the width of the arm section increases from a minimum width at the strap portion to a maximum width at the bell portion. To wear the garment, the garment is positioned around the wearer's waist so that the central section is positioned over the rear part of the wearer's trunk area, and the arm sections are then tied in front of the waist. When worn in this manner, the strap portions have sufficient length so that the bell portions extend downwardly and cooperate to establish a front panel, which hides the front part of the wearer's trunk area from view.