ReliaQuest Holdings, LLC (20240291833). 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 20240291833 titled 'THREAT MITIGATION SYSTEM AND METHOD
The abstract describes a method, program, and system for using a generative AI model to summarize and generate human-readable reports from computer-readable language portions defining security events.
- Simplified Explanation: The patent application involves using AI to summarize and generate reports from computer-readable security event notifications.
- Key Features and Innovation:
- Utilizes a generative AI model to process computer-readable language portions. - Defines a formatting script for use with the AI model. - Summarizes security event notifications to generate human-readable reports.
- Potential Applications:
- Cybersecurity incident response. - Security event monitoring and analysis. - Automated report generation for security teams.
- Problems Solved:
- Streamlines the process of summarizing security event notifications. - Enhances the efficiency of generating human-readable reports. - Improves the overall response to security incidents.
- Benefits:
- Faster analysis of security events. - More accurate and concise reporting. - Increased productivity for security teams.
- Commercial Applications:
- Security software companies. - Managed security service providers. - Enterprises with large-scale security operations.
- Prior Art:
- Researchers in the field of AI and cybersecurity. - Companies developing AI-driven security solutions.
- Frequently Updated Research:
- Ongoing advancements in generative AI models for security applications. - Updates in the field of automated report generation for security incidents.
Questions about AI: 1. How does the generative AI model process computer-readable language portions? 2. What are the potential limitations of using AI for summarizing security event notifications?
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 notification of a security event, wherein the notification includes a computer-readable language portion that defines one or more specifics of the security event; and processing at least a portion of the computer-readable language portion of the notification using the generative ai model and the formatting script to summarize the computer-readable language portion and generate a summarized human-readable report.
