ReliaQuest Holdings, LLC (20240291852). THREAT MITIGATION SYSTEM AND METHOD simplified abstract
Contents
THREAT MITIGATION SYSTEM AND METHOD
Organization Name
Inventor(s)
Brian P. Murphy of Tampa FL (US)
Colin O'connor of Tampa FL (US)
Jason Pfeiffer of Tampa FL (US)
Brian Philip Murphy of St. Petersburg FL (US)
Jonathan R. Echavarria of Tampa FL (US)
THREAT MITIGATION SYSTEM AND METHOD - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240291852 titled 'THREAT MITIGATION SYSTEM AND METHOD
The abstract describes a method, program, and system for establishing connectivity with security-relevant subsystems, processing security events, generating recommended actions, and creating playbooks to address security events.
- Method, program, and system for connecting with security-relevant subsystems within a computing platform
- Processing security events using a generative AI model and formatting script
- Generating recommended actions based on the processed security events
- Creating playbooks automatically to implement recommended actions
- Addressing security events by processing the generated playbooks
Potential Applications: - Cybersecurity operations - Incident response management - Security automation in IT environments
Problems Solved: - Efficient handling of security events - Automation of response actions - Enhanced coordination between security subsystems
Benefits: - Improved security incident response - Streamlined security operations - Reduction in manual intervention
Commercial Applications: - Security software development companies - IT security service providers - Enterprise cybersecurity teams
Questions about the technology: 1. How does the generative AI model enhance the processing of security events? 2. What are the key advantages of automatically generating playbooks for security incident response?
Frequently Updated Research: - Stay updated on advancements in AI-driven security incident response systems.
Original Abstract Submitted
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.
