ReliaQuest Holdings, LLC (20240291842). 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 20240291842 titled 'THREAT MITIGATION SYSTEM AND METHOD
Simplified Explanation: The patent application describes a method, program, and system for deploying an agent to monitor activity within a computing platform, generate notifications for security events, and process these notifications using AI to create human-readable reports.
Key Features and Innovation:
- Proactive monitoring of activity within a computing platform.
- Generation of initial notifications for detected security events.
- Processing of notifications using a generative AI model and formatting script.
- Creation of summarized human-readable reports for security events.
Potential Applications: This technology can be applied in various industries such as cybersecurity, IT management, and network monitoring to enhance security measures and incident response capabilities.
Problems Solved: The technology addresses the need for real-time monitoring of security events, quick detection of threats, and efficient reporting to enable timely response and mitigation actions.
Benefits:
- Improved security posture through proactive monitoring.
- Enhanced incident response capabilities.
- Streamlined reporting processes for security events.
- Increased efficiency in identifying and addressing security threats.
Commercial Applications: The technology can be utilized by cybersecurity firms, IT departments, cloud service providers, and other organizations that require robust security monitoring and incident response capabilities.
Prior Art: Readers can explore prior patents related to security event monitoring, AI-based threat detection, and automated reporting systems to gain a deeper understanding of the technology landscape in this field.
Frequently Updated Research: Stay informed about the latest advancements in AI-driven security monitoring, threat detection algorithms, and automated reporting tools to leverage cutting-edge technologies for enhancing cybersecurity measures.
Questions about Security Event Monitoring: 1. How does the use of AI improve the efficiency of security event monitoring? 2. What are the potential challenges in implementing automated reporting systems for security events?
Original Abstract Submitted
a computer-implemented method, computer program product and computing system for deploying an agent to proactively monitor activity within a computing platform and generate an initial notification if a security event is detected; receiving the initial notification of the security event from the agent, wherein the initial notification includes a computer-readable language portion that defines one or more specifics of the security event; and iteratively processing the initial notification using a generative ai model and a formatting script to produce a summarized human-readable report for the initial notification.
