Abstract: A computer-implemented method, computer program product and computing system for: a computer-implemented method is executed on a computing device and includes: obtaining object information concerning one or more initial objects within a computing platform in response to a security event; identifying an event type for the security event; and executing a response script based, at least in part, upon the event type.

Abstract: A computer-implemented method, computer program product and computing system for receiving a plurality of detection events concerning a plurality of security events occurring on multiple security-relevant subsystems within one or more computing platforms; storing the plurality of detection events to form an event repository; and processing the event repository using a machine learning model to identify attack patterns defined within the plurality of detection events stored within the event repository, thus defining one or more identified attack patterns.

Abstract: A computer-implemented method, computer program product and computing system for: obtaining hardware performance information concerning hardware deployed within a computing platform; obtaining platform performance information concerning the operation of the computing platform; obtaining application performance information concerning one or more applications deployed within the computing platform; and generating a holistic platform report concerning the computing platform based, at least in part, upon the hardware performance information, the platform performance information and the application performance information.

Abstract: A computer-implemented method, computer program product and computing system for receiving a plurality of detection events concerning a plurality of security events occurring on two or more security-relevant subsystems within a computing platform; identifying two or more associated detection events included within the plurality of detection events; and grouping the two or more associated detection events to define a security incident.

Abstract: A computer-implemented method, computer program product and computing system for: obtaining one or more artifacts concerning a detected security event; obtaining artifact information concerning the one or more artifacts; and generating a conclusion concerning the detected security event based, at least in part, upon the detected security event, the one or more artifacts, and the artifact information.

Abstract: A computer-implemented method, computer program product and computing system for receiving a plurality of detection events concerning a plurality of security events occurring on multiple security-relevant subsystems within one or more computing platforms; storing the plurality of detection events to form an event repository; and processing the event repository using a machine learning model to identify attack patterns defined within the plurality of detection events stored within the event repository, thus defining one or more identified attack patterns.

Abstract: A computer-implemented method, computer program product and computing system for defining a first query for a first security-relevant subsystem within a computing platform; processing the first query on the first security-relevant subsystem to generate a first data set concerning security events occurring on the first security-relevant subsystem; and receiving the first data set concerning the security events occurring on the first security-relevant subsystem.

Abstract: A computer-implemented method, computer program product and computing system for: obtaining one or more artifacts concerning a detected security event; obtaining artifact information concerning the one or more artifacts; and generating a conclusion concerning the detected security event based, at least in part, upon the detected security event, the one or more artifacts, and the artifact information.

Abstract: A computer-implemented method, computer program product and computing system for: obtaining hardware performance information concerning hardware deployed within a computing platform; obtaining platform performance information concerning the operation of the computing platform; obtaining application performance information concerning one or more applications deployed within the computing platform; and generating a holistic platform report concerning the computing platform based, at least in part, upon the hardware performance information, the platform performance information and the application performance information.

Abstract: A computer-implemented method, computer program product and computing system for receiving a plurality of detection events concerning a plurality of security events occurring on a security-relevant subsystem within a computing platform; identifying two or more associated detection events included within the plurality of detection events; and grouping the two or more associated detection events to define a security incident.

Abstract: A computer-implemented method, computer program product and computing system for establishing connectivity with a plurality of security-relevant subsystems within a computing platform; receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and iteratively processing the initial notification using a generative AI model and a formatting script to produce a summarized human-readable report for the initial notification.

Abstract: A computer-implemented method, computer program product and computing system for: a computer-implemented method is executed on a computing device and includes: rendering a threat mitigation user interface that identifies objects within a computing platform in response to a security event; and enabling a third-party to gather artifacts concerning an object within the threat mitigation user interface.

Abstract: A computer-implemented method, computer program product and computing system for maintaining a model repository that defines a plurality of AI models; establishing connectivity with a plurality of security-relevant subsystems within a computing platform; receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and selecting a generative AI model for processing the initial notification of the security event from the plurality of AI models defined within the model repository, thus defining a selected generative AI model.

Abstract: A computer-implemented method, computer program product and computing system for establishing connectivity with a plurality of security-relevant subsystems within a computing platform; receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; processing the initial notification using a generative AI model and a formatting script to define one or more recommended actions; automatically generating a playbook to effectuate at least one of the recommended actions; and processing the playbook to address at least a portion of the security event.

Abstract: A computer-implemented method, computer program product and computing system for establishing connectivity with a plurality of security-relevant subsystems within a computing platform; receiving an initial notification of a security event from one of the security-relevant subsystems, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; processing the initial notification using a generative AI model and a formatting script to produce a summarized human-readable report for the initial notification, wherein the summarized human-readable report defines one or more recommended next steps; and automatically executing some or all of the recommended next steps to define one or more recommended actions.

Abstract: A computer-implemented method, computer program product and computing system for defining a formatting script for use with a Generative AI Model; receiving a plurality of notifications of a security event, wherein each of the plurality of notifications includes a computer-readable language portion that defines one or more specifics of the security event, thus defining a plurality of computer-readable language portions; processing at least a portion of each of the plurality of computer-readable language portions using the Generative AI Model and the formatting script to summarize each of the computer-readable language portions and generate a plurality of event summaries; and’ processing at least a portion of each of the plurality of event summaries using the Generative AI Model and the formatting script to summarize the plurality of event summaries and generate a summarized human-readable report.

Abstract: A threat mitigation platform includes: an agent subsystem configured to generate an initial notification concerning a security event within a computing platform; a generative AI-based planner subsystem configured to receive the initial notification and generate a mitigation plan to address, in whole or in part, the security event within the computing platform; an executor subsystem configured to iteratively process the mitigation plan using a generative AI model to generate an output; and an output formatter subsystem configured to format the output and generate a summarized human-readable report for the initial notification.