Abstract: A system and method for implementing a graph database to analyze and monitor a status of an enterprise computer network is provided. In one example, a plurality of sensors can be inputted into sensor interface in which all of the data associated with the sensors in converted into a common data format. The data can be parsed into a data model that contains nodes and edges in order to generate a graph database model that can allow a network analyst to analyze the real-time status of a computer network. The graph database model can include multiple layers including an infrastructure layer, a cyber threats layer, a cyber posture layer, and a mission readiness layer. The graph database model can also be queried by a user using a domain-specific query language, so as to provide a user-friendly syntax in generating queries.

Abstract: A system and method for implementing a graph database to analyze and monitor a status of an enterprise computer network is provided. In one example, a plurality of sensors can be inputted into sensor interface in which all of the data associated with the sensors in converted into a common data format. The data can be parsed into a data model that contains nodes and edges in order to generate a graph database model that can allow a network analyst to analyze the real-time status of a computer network. The graph database model can include multiple layers including an infrastructure layer, a cyber threats layer, a cyber posture layer, and a mission readiness layer. The graph database model can also be queried by a user using a domain-specific query language, so as to provide a user-friendly syntax in generating queries.

Abstract: Systems and methods for determining a safety level of a network vulnerable to attack from at least one origin to at least one target are described. Machines, components, and vulnerabilities in a network may be associated to one another. Degrees of similarity among the vulnerabilities may be determined and subsets of vulnerabilities may be grouped based on their determined degrees of similarity to one another. This data may be used to generate an attack graph describing exploitation of vulnerabilities and grouped vulnerabilities and defining vulnerability exploit condition relationships between at least one origin and at least one target. The attack graph may be analyzed using a k-zero day metric function to determine a safety level.

Abstract: A system and method for determining at least one hardening strategy to prevent at least one attack, comprising: performing processing associated with obtaining at least one attack graph, the at least one attack graph comprising at least one goal condition, at least one initial condition, and at least one exploit; performing processing associated with obtaining at least one allowable action that disables the at least one initial condition; performing processing associated with obtaining costs associated with the at least one allowable action; and performing processing associated with utilizing the at least one allowable action to determine at least one recommended strategy from the at least one allowable action taking into account the costs.

Abstract: Systems and methods for determining a safety level of a network vulnerable to attack from at least one origin to at least one target are described. Machines, components, and vulnerabilities in a network may be associated to one another. Degrees of similarity among the vulnerabilities may be determined and subsets of vulnerabilities may be grouped based on their determined degrees of similarity to one another. This data may be used to generate an attack graph describing exploitation of vulnerabilities and grouped vulnerabilities and defining vulnerability exploit condition relationships between at least one origin and at least one target. The attack graph may be analyzed using a k-zero day metric function to determine a safety level.

Abstract: Systems and methods for determining a safety level of a network vulnerable to attack from at least one origin to at least one target are described. Machines, components, and vulnerabilities in a network may be associated to one another. Degrees of similarity among the vulnerabilities may be determined and subsets of vulnerabilities may be grouped based on their determined degrees of similarity to one another. This data may be used to generate an attack graph describing exploitation of vulnerabilities and grouped vulnerabilities and defining vulnerability exploit condition relationships between at least one origin and at least one target. The attack graph may be analyzed using a k-zero day metric function to determine a safety level.

Abstract: The manufacture and installation of heat trace systems, particularly cables, are controlled from comprehensive controls in the design and management of the heat trace systems.

Abstract: A system and method for determining at least one hardening strategy to prevent at least one attack, comprising: performing processing associated with obtaining at least one attack graph, the at least one attack graph comprising at least one goal condition, at least one initial condition, and at least one exploit; performing processing associated with obtaining at least one allowable action that disables the at least one initial condition; performing processing associated with obtaining costs associated with the at least one allowable action; and performing processing associated with utilizing the at least one allowable action to determine at least one recommended strategy from the at least one allowable action taking into account the costs.

Abstract: Systems and methods for determining a safety level of a network vulnerable to attack from at least one origin to at least one target are described. Machines, components, and vulnerabilities in a network may be associated to one another. Degrees of similarity among the vulnerabilities may be determined and subsets of vulnerabilities may be grouped based on their determined degrees of similarity to one another. This data may be used to generate an attack graph describing exploitation of vulnerabilities and grouped vulnerabilities and defining vulnerability exploit condition relationships between at least one origin and at least one target. The attack graph may be analyzed using a k-zero day metric function to determine a safety level.

Abstract: The manufacture and installation of heat trace systems, particularly cables, are controlled from comprehensive controls in the design and management of the heat trace systems.

Abstract: Heat trace system design is disclosed. In some embodiments, pipe system data including data associated with pipe system components is received, and in response to receiving a selection of a pipe system component, data associated with a set of one or more pipe system components including the selected pipe system component is automatically extracted from the received pipe system data. One or more heat trace system components for the set of pipe system components are determined based at least in part on the extracted data.

Abstract: Heat trace system design is disclosed. In some embodiments, pipe system data including data associated with pipe system components is received, and in response to receiving a selection of a pipe system component, data associated with a set of one or more pipe system components including the selected pipe system component is automatically extracted from the received pipe system data. One or more heat trace system components for the set of pipe system components are determined based at least in part on the extracted data.

Abstract: Disclosed is a network hardening mechanism. The mechanism: generates a dependency graph from a multitude of exploits; constructs a goal conditions expression which may then be used to determine set(s) of safe network configurations. A subset of these safe network configuration sets may then be selected for implementation using hardening costs as a criterion.