ReliaQuest Holdings, LLC (20240291851). 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 20240291851 titled 'THREAT MITIGATION SYSTEM AND METHOD
The abstract describes a method, program, and system for establishing connectivity with security-relevant subsystems, receiving notifications of security events, processing them using AI, and automatically executing recommended actions.
- Method, program, and system for connecting with security-relevant subsystems
- Receive notifications of security events and process them using AI
- Automatically execute recommended actions to address security events
Potential Applications: - Cybersecurity systems - Network monitoring tools - Incident response platforms
Problems Solved: - Efficient handling of security events - Automation of security response processes
Benefits: - Improved security incident management - Faster response times to security threats - Reduction in manual intervention for security events
Commercial Applications: - Security software companies - IT security departments in organizations - Managed security service providers
Questions about the technology: 1. How does the AI model process the initial notifications of security events? 2. What types of security-relevant subsystems can be connected using this method?
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 actions; and automatically executing some or all of the recommended actions to address the security event.
