Abstract: A method of determining real-time operational integrity of an application or service operating on a computing device, the method including inspecting network traffic sent or received by the application or the service operating on the computing device, determining in real-time, by a network analyzer of an endpoint trust agent on the computing device, signaling integrity and data exchange of the application or the service based on the inspecting of the network traffic to assess trustworthiness of the signaling, and data exchange, and determining, by the network analyzer, that the application or the service is malicious based on the determined trustworthiness of the signaling and data exchange.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Systems and methods use a graphical user interface (GUI) console to orchestrate operational integrity of a platform. In an embodiment, a method presents a data center-level runtime operational integrity dashboard and remediation controls for infected systems in a display of a platform having a network trust agent, an endpoint trust agent, and a trust orchestrator. The method receives runtime integrity metrics for trust vectors and displays risk indicators based on the confidence level of received integrity metrics in the GUI.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Systems and methods for threat identification and remediation for computing platforms based upon reconnaissance-based intelligence correlation and network/application monitoring are disclosed. In an embodiment, a method provides runtime operational integrity of a system by receiving: a dynamic context including endpoint events; and network endpoint assessments. The method generates temporal events based on the network endpoint assessments and correlates the endpoint events and temporal events before generating an integrity profile for the system.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Methods and systems are disclosed for network flow and device/platform remediation in response to reconnaissance-based intelligence correlation based on network monitoring, to accomplish network flow remediation and device/platform remediation. In an embodiment, a system receives system warnings and endpoint threat intelligence. The system correlates risk based on inputs from sensory inputs that monitor network activity, system configuration, resource utilization, and device integrity.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Systems and methods use a graphical user interface (GUI) console to orchestrate operational integrity of a platform. In an embodiment, a method presents a data center-level runtime operational integrity dashboard and remediation controls for infected systems in a display of a platform having a network trust agent, an endpoint trust agent, and a trust orchestrator. The method receives runtime integrity metrics for trust vectors and displays risk indicators based on the confidence level of received integrity metrics in the GUI.

Abstract: A method for assessing runtime risk for an application or device includes: storing, in a rules database, a plurality of rules, wherein each rule identifies an action sequence; storing, in a policy database, a plurality of assessment policies, wherein each assessment policy includes at least one rule of the plurality of rules; identifying, using at least one assessment policy, a runtime risk for an application or device, wherein the identified runtime risk identifies and predicts a specific type of threat; and identifying, by a processing device, a behavior score for the application or device based on the identified runtime risk, wherein the action sequence is a sequence of at least two performed actions, and each performed action is at least one of: a user action, an application action, and a system action.

Abstract: Instrumented networks, machines and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects (including mobile devices) and applications on the instrumented target platform. Methods and systems are disclosed for dynamic attestation of mobile device integrity based upon subject reputation scores. In an embodiment, a method scores trustworthiness of a mobile device based on reputation scores for users associated with the device and/or a device reputation score. The method generates runtime integrity alerts regarding execution anomalies for applications executing on the device, calculates risks based on a ruleset, and determines a calculus of risk for the device.

Abstract: A method for assessing runtime risk for an application or device includes: storing, in a rules database, a plurality of rules, wherein each rule identifies an action sequence; storing, in a policy database, a plurality of assessment policies, wherein each assessment policy includes at least one rule of the plurality of rules; identifying, using at least one assessment policy, a runtime risk for an application or device, wherein the identified runtime risk identifies and predicts a specific type of threat; and identifying, by a processing device, a behavior score for the application or device based on the identified runtime risk, wherein the action sequence is a sequence of at least two performed actions, and each performed action is at least one of: a user action, an application action, and a system action.

Abstract: A method for assessing runtime risk for an application or device includes: storing, in a rules database, a plurality of rules, wherein each rule identifies an action sequence; storing, in a policy database, a plurality of assessment policies, wherein each assessment policy includes at least one rule of the plurality of rules; identifying, using at least one assessment policy, a runtime risk for an application or device, wherein the identified runtime risk identifies and predicts a specific type of threat; and identifying, by a processing device, a behavior score for the application or device based on the identified runtime risk, wherein the action sequence is a sequence of at least two performed actions, and each performed action is at least one of: a user action, an application action, and a system action.

Abstract: Instrumented networks, computer systems and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Methods and systems are disclosed for calculating security risks by determining subject reputation scores. In an embodiment, a system receives a query for a reputation score of a subject, initiates directed queries to external information management systems to interrogate attributes associated with the subject, and analyzes responses. The system receives a hierarchical subject reputation score based on a calculus of risk and returns a reputation token.

Abstract: Instrumented networks, computer systems and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Methods and systems are disclosed for calculating security risks by determining subject reputation scores. In an embodiment, a system receives a query for a reputation score of a subject, initiates directed queries to external information management systems to interrogate attributes associated with the subject, and analyzes responses. The system receives a hierarchical subject reputation score based on a calculus of risk and returns a reputation token.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Systems and methods use a graphical user interface (GUI) console to orchestrate operational integrity of a platform. In an embodiment, a method presents a data center-level runtime operational integrity dashboard and remediation controls for infected systems in a display of a platform having a network trust agent, an endpoint trust agent, and a trust orchestrator. The method receives runtime integrity metrics for trust vectors and displays risk indicators based on the confidence level of received integrity metrics in the GUI.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Systems and methods for threat identification and remediation for computing platforms based upon reconnaissance-based intelligence correlation and network/application monitoring are disclosed. In an embodiment, a method provides runtime operational integrity of a system by receiving: a dynamic context including endpoint events; and network endpoint assessments. The method generates temporal events based on the network endpoint assessments and correlates the endpoint events and temporal events before generating an integrity profile for the system.

Abstract: Instrumented networks and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects and applications on the instrumented target platform. Methods and systems are disclosed for network flow and device/platform remediation in response to reconnaissance-based intelligence correlation based on network monitoring, to accomplish network flow remediation and device/platform remediation. In an embodiment, a system receives system warnings and endpoint threat intelligence. The system correlates risk based on inputs from sensory inputs that monitor network activity, system configuration, resource utilization, and device integrity.

Abstract: Instrumented networks, machines and platforms having target subjects (devices, transactions, services, users, organizations) are disclosed. A security orchestration service generates runtime operational integrity profiles representing and identifying a level of threat or contextual trustworthiness, at near real time, of subjects (including mobile devices) and applications on the instrumented target platform. Methods and systems are disclosed for dynamic attestation of mobile device integrity based upon subject reputation scores. In an embodiment, a method scores trustworthiness of a mobile device based on reputation scores for users associated with the device and/or a device reputation score. The method generates runtime integrity alerts regarding execution anomalies for applications executing on the device, calculates risks based on a ruleset, and determines a calculus of risk for the device.

Abstract: An instrumented machine or platform having a target application thereon is disclosed. An attestation service may generate an application artifact having associated therewith a name and an application statement having at least one of a plurality of attribute value assertions describing the examined runtime local execution and introspection based derived security context. The application statements may represent the level of contextual trustworthiness, at near real time, of a running application on the instrumented target platform. A runtime process and network monitor may examine the local runtime execution context of the target application, and an identity provider may authenticate a user to the web application based on a web services query for attestation of the target application.

Abstract: An instrumented machine or platform having a target application thereon is disclosed. An attestation service may generate an application artifact having associated therewith a name and an application statement having at least one of a plurality of attribute value assertions describing the examined runtime local execution and introspection based derived security context. The application statements may represent the level of contextual trustworthiness, at near real time, of a running application on the instrumented target platform. A runtime process and network monitor may examine the local runtime execution context of the target application, and an identity provider may authenticate a user to the web application based on a web services query for attestation of the target application.