ReliaQuest Holdings, LLC (20240289535). 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 20240289535 titled 'THREAT MITIGATION SYSTEM AND METHOD
Simplified Explanation: The patent application describes a method, computer program, and system for generating human-readable reports summarizing security events using a generative AI model and a formatting script.
Key Features and Innovation:
- Defining a formatting script for use with a generative AI model.
- Receiving notifications of security events with computer-readable language portions.
- Processing language portions to summarize security events and generate event summaries.
- Generating a summarized human-readable report using the event summaries.
Potential Applications: This technology can be applied in cybersecurity, threat intelligence analysis, incident response, and security operations to efficiently summarize and report security events.
Problems Solved: This technology addresses the challenge of quickly summarizing and reporting on a large volume of security events in a human-readable format.
Benefits: The technology streamlines the process of analyzing and reporting security events, enabling faster response times and more effective communication within security teams.
Commercial Applications: Title: "Security Event Summarization Technology for Cybersecurity Operations" This technology can be commercialized as a tool for cybersecurity companies, managed security service providers, and enterprises with large security operations teams.
Prior Art: Researchers can explore prior art related to natural language processing, AI models for summarization, and cybersecurity incident response tools.
Frequently Updated Research: Researchers may find relevant studies on AI-driven security event analysis, natural language processing advancements, and the integration of automation in cybersecurity operations.
'Questions about Security Event Summarization Technology: 1. How does this technology improve the efficiency of security event analysis? 2. What are the potential limitations of using a generative AI model for summarizing security events?
Original Abstract Submitted
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.
