Automated Vulnerability Grouping for Network Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
As networked computer systems grow in complexity, they introduce more vulnerabilities, making it difficult to proactively prevent malicious attacks and undesirable events, with existing scanning technologies often resulting in decreased visibility of critical vulnerabilities.
Innovation Solution
A vulnerability response system that enables customized analysis and predictive forecasting of data, allowing for complex reporting and interactivity with time-series data, including a vulnerability response tool that evaluates and groups vulnerabilities for enhanced tracking, prioritization, and remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If scanning technologies are used to detect vulnerabilities in growing networked computer systems, then the number of detected vulnerabilities increases, but the visibility of critical vulnerabilities decreases due to the overwhelming quantity of results
Solution Approach 1:
The patent segments vulnerabilities into different groups based on their characteristics, severity, and impact. By dividing the large set of all vulnerabilities into meaningful subsets (e.g., critical, high, medium, low severity groups), the system enables focused analysis and reporting on specific vulnerability categories, thereby restoring visibility of critical vulnerabilities amidst the overall increase in detected vulnerabilities.
2Adaptability or versatility
If the number of computer resources is increased to enhance system capabilities, then system functionality improves, but the complexity of managing and securing the system increases
Solution Approach 1:
The patent implements a universal vulnerability management system that handles diverse vulnerability types across multiple computer resources through a single integrated platform. The system provides multi-functional capabilities including automated scanning, classification, grouping, prioritization, and remediation tracking, thereby simplifying vulnerability management complexity while supporting enhanced system capabilities.
Solution Approach 2:
The patent changes the parameters of vulnerability management by introducing automated classification based on severity levels, impact assessment, and prioritization metrics. By transforming raw vulnerability data into structured information with defined parameters (severity scores, priority ratings, risk levels), the system reduces management complexity while enabling effective security control across expanded system capabilities.
3Reliability
If comprehensive vulnerability scanning is performed across all system resources, then complete vulnerability detection is achieved, but the time and resources required for analysis and remediation increase
Solution Approach 1:
The patent applies preliminary action by automatically classifying and prioritizing vulnerabilities immediately after detection, before full analysis and remediation begin. The system pre-processes vulnerability data by assigning severity levels, impact categories, and priority rankings, thereby preparing the information in advance for faster analysis and remediation execution, reducing the overall time required while maintaining complete detection coverage.
Solution Approach 2:
The patent implements feedback mechanisms that provide continuous information about vulnerability status, remediation progress, and system security posture. By feeding back prioritized vulnerability information to stakeholders and automatically updating risk assessments based on remediation actions, the system enables efficient resource allocation and accelerates the remediation process while maintaining comprehensive detection reliability.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Systems and methods for automatically grouping vulnerabilities into vulnerability groups are provided (406). Vulnerabilities are received in the vulnerability response system (402) and are automatically grouped into one or more vulnerability groups based upon grouping fields defined in a vulnerability group rule (404,406).