ReliaQuest Holdings, LLC (20240305651). THREAT MITIGATION SYSTEM AND METHOD simplified abstract
Contents
- 1 THREAT MITIGATION SYSTEM AND METHOD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 THREAT MITIGATION SYSTEM AND METHOD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Connectivity with Security-Relevant Subsystems
- 1.13 Original Abstract Submitted
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 20240305651 titled 'THREAT MITIGATION SYSTEM AND METHOD
Simplified Explanation
The patent application describes a method for establishing connectivity with security-relevant subsystems in a computing platform, processing security event notifications using AI, and generating human-readable reports.
Key Features and Innovation
- Establishing connectivity with multiple security-relevant subsystems within a computing platform.
- Receiving security event notifications with specific details in a computer-readable language.
- Processing notifications using a generative AI model and a formatting script to create summarized reports.
Potential Applications
This technology can be applied in various industries such as cybersecurity, IT security, network monitoring, and incident response.
Problems Solved
This technology addresses the challenge of efficiently processing and summarizing security event notifications from multiple subsystems within a computing platform.
Benefits
- Improved efficiency in handling security event notifications.
- Enhanced visibility and understanding of security events.
- Streamlined incident response processes.
Commercial Applications
- Cybersecurity companies can use this technology to enhance their threat detection and incident response capabilities.
- IT security teams can leverage this technology to improve their monitoring and reporting processes.
Prior Art
Researchers and professionals in the field of cybersecurity and AI may find relevant prior art in the areas of security event processing, AI-driven reporting, and network monitoring technologies.
Frequently Updated Research
Stay updated on the latest advancements in AI-driven security event processing, network monitoring, and incident response technologies to further enhance the capabilities of this innovation.
Questions about Connectivity with Security-Relevant Subsystems
How does this technology improve incident response processes in cybersecurity?
This technology enhances incident response processes by efficiently processing security event notifications from multiple subsystems and generating human-readable reports for quick analysis and action.
What are the potential applications of this technology beyond cybersecurity?
This technology can also be applied in IT security, network monitoring, and other industries where efficient processing of security event notifications is crucial for maintaining system integrity and security.
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; 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.
