ReliaQuest Holdings, LLC (20240289459). 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 20240289459 titled 'THREAT MITIGATION SYSTEM AND METHOD
Simplified Explanation: The patent application describes a method for maintaining a model repository of AI models, connecting with security-relevant subsystems, receiving security event notifications, and selecting a generative AI model to process the notifications.
Key Features and Innovation:
- Method for managing a repository of AI models
- Connectivity with security-relevant subsystems
- Processing security event notifications using generative AI models
Potential Applications: This technology can be applied in cybersecurity systems, threat detection, incident response, and security monitoring.
Problems Solved: The technology addresses the need for efficient processing of security event notifications and enhances the capabilities of security systems in identifying and responding to threats.
Benefits:
- Improved security event processing
- Enhanced threat detection capabilities
- Streamlined incident response procedures
Commercial Applications: The technology can be utilized by cybersecurity companies, IT security departments, and organizations that require advanced security monitoring and incident response capabilities.
Prior Art: Readers can explore prior patents related to AI models in cybersecurity, security event processing, and generative AI technologies.
Frequently Updated Research: Stay informed about the latest advancements in AI models for security applications, generative AI technologies, and cybersecurity systems.
Questions about AI Security Event Processing: 1. How does this technology improve security event processing efficiency? 2. What are the potential implications of using generative AI models for security event analysis?
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Original Abstract Submitted
a computer-implemented method, computer program product and computing system for maintaining a model repository that defines a plurality of ai models; 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 selecting a generative ai model for processing the initial notification of the security event from the plurality of ai models defined within the model repository, thus defining a selected generative ai model.
