Vulnerability Information Processing With Priority-Based Text Generation
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Solution Overview
Problem
The high cost and inefficiency of obtaining and acting on vulnerability information in cybersecurity measures due to the need for extensive communication with external organizations and internal departments, which existing natural language processing technologies do not address.
Innovation Solution
A vulnerability information processing apparatus that includes a software configuration database, vulnerability database, and a text generation unit to calculate countermeasure priorities and generate texts for inquiries or reports based on configuration and vulnerability information, utilizing natural language processing to reduce communication work.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security personnel manually communicate with external organizations and internal departments to obtain and process vulnerability information, then the accuracy and completeness of vulnerability handling is improved, but the time and cost required increases significantly
Solution Approach 1:
The system enables self-service by automatically analyzing vulnerability information, determining affected software, calculating countermeasure priorities, and generating notification texts without requiring security personnel to manually communicate with multiple departments. The automated text generation unit creates draft notifications that can be directly sent to developers and customers, making the system serve itself rather than relying on human intervention for each vulnerability case.
Solution Approach 2:
The patent introduces an intermediary system consisting of the analysis unit and text generation unit that mediates between vulnerability information sources and the various stakeholders (developers, customers, security personnel). This intermediary automatically processes information, determines relationships between vulnerabilities and software configurations, and generates appropriate communications, thereby reducing the need for direct human-to-human communication while maintaining accuracy.
2Reliability
If experts with knowledge in both security and products are hired to process vulnerability information, then the quality of vulnerability response is improved, but the cost increases significantly
Solution Approach 1:
The system segments the expertise requirements into separate functional modules: the analysis unit handles vulnerability assessment, the configuration database stores software information, the priority calculation unit determines countermeasure urgency, and the text generation unit creates communications. By dividing the expert knowledge into discrete automated functions, the system achieves high-quality vulnerability response without requiring expensive multi-skilled experts to perform each task manually.
Solution Approach 2:
The patent replaces the mechanical system of human experts manually analyzing and communicating about vulnerabilities with an automated information processing system. The analysis unit, database queries, priority calculation algorithms, and natural language generation replace the need for human cognitive processes in these tasks, thereby reducing the cost of hiring and retaining specialized experts while maintaining response quality.
3Measurement precision
If detailed analysis of vulnerability information is performed to determine affected software and generate appropriate notifications, then the precision of security responses is improved, but the complexity of the processing system increases
Solution Approach 1:
The system performs preliminary action by pre-storing software configuration information, component relationships, and vulnerability data in structured databases before actual vulnerability incidents occur. The configuration database contains pre-organized software information, and the vulnerability database stores known vulnerability patterns. When a new vulnerability is detected, the system can quickly query these pre-prepared databases to determine affected software and generate notifications, achieving high precision without complex real-time analysis.
Data Source
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AI summary
A vulnerability information processing apparatus 100 includes a software configuration database 220, a vulnerability database 210, and a text generation unit 120. The software configuration database stores configuration information of software that needs to be managed. The vulnerability database stores vulnerability information of the software. The text generation unit calculates a countermeasure priority 310 for the software based on the configuration information and the vulnerability information and generates text 330 regarding vulnerability of the software based on the calculated countermeasure priority.