ReliaQuest Holdings, LLC (20240291850). 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 20240291850 titled 'THREAT MITIGATION SYSTEM AND METHOD
The abstract describes a method, program, and system for establishing connectivity with security-relevant subsystems, processing security event notifications, and automatically executing recommended actions.
- Method, program, and system for connecting with security-relevant subsystems within a computing platform.
- Receives initial security event notifications with specific details in a computer-readable language.
- Processes notifications using a generative AI model and formatting script to create human-readable reports with recommended next steps.
- Automatically executes some or all of the recommended actions to address security events.
Potential Applications: - Cybersecurity systems - Incident response management - Network security monitoring
Problems Solved: - Efficient handling of security event notifications - Streamlining response processes - Enhancing overall cybersecurity posture
Benefits: - Improved incident response times - Enhanced security incident management - Automation of security actions
Commercial Applications: Title: Automated Security Incident Response System This technology can be utilized by cybersecurity companies, IT departments, and organizations with complex computing platforms to enhance their security incident response capabilities. The market implications include increased efficiency, reduced manual intervention, and improved overall security posture.
Questions about the technology: 1. How does this technology improve incident response processes? - This technology streamlines the handling of security event notifications and automates the execution of recommended actions, leading to quicker and more effective incident response. 2. What are the key benefits of using a generative AI model in processing security event notifications? - The use of a generative AI model allows for the creation of human-readable reports with recommended next steps, enhancing the overall efficiency and effectiveness of incident response processes.
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 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.
