Dynamic Vulnerability Exclusion Renewal Prioritization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing vulnerability scan tools do not provide a risk awareness score for exclusion records or identify the priority for renewal, making it difficult to manage the increasing number of excluded vulnerability records effectively.
Innovation Solution
A computer-implemented method and system that determines vulnerability factors associated with exclusion records, generates vulnerability factor scores based on risk levels, and calculates a vulnerability score to prioritize renewal records dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vulnerability exclusion records are reviewed manually on a yearly basis, then comprehensive evaluation can be performed, but the process becomes increasingly difficult and time-consuming as the number of excluded records grows
Solution Approach 1:
The system automatically performs self-evaluation of exclusion records by computing risk scores based on vulnerability data, exclusion reasons, and system information without requiring manual human review for each record. The prioritization framework enables the system to serve itself by identifying which records need human attention and which can be automatically managed.
Solution Approach 2:
The system performs preliminary risk assessment and prioritization before human review, pre-calculating risk scores and ranking records so that human reviewers only need to focus on high-priority cases rather than evaluating all records from scratch.
2Ease of operation
If all exclusion records are evaluated with equal priority, then simplicity is maintained, but critical vulnerabilities may be overlooked amidst the growing number of exclusions
Solution Approach 1:
Different exclusion records are assigned different priority levels and evaluation depths based on their specific risk characteristics. High-risk records receive intensive review while low-risk records undergo lighter evaluation, allowing the system to focus resources where they are most needed rather than treating all records uniformly.
Solution Approach 2:
The system dynamically adjusts evaluation parameters such as risk thresholds, review frequencies, and prioritization weights based on the specific characteristics of each exclusion record, including vulnerability type, system criticality, and exclusion reason, enabling differentiated handling of different risk scenarios.
3Ease of operation
If manual renewal processes are performed without prioritization, then human judgment can be applied, but the burden of managing increasing numbers of exclusion records becomes overwhelming
Solution Approach 1:
The large set of exclusion records is segmented into priority groups based on risk scores, with high-priority records requiring immediate human attention and low-priority records that can be handled through automated processes or deferred review, dividing the overwhelming task into manageable segments.
Solution Approach 2:
The automated prioritization framework acts as an intermediary between the large volume of exclusion records and human reviewers, filtering and ranking records so that human judgment is applied selectively to the most critical cases rather than all records, thereby maintaining human oversight while improving overall efficiency.
Data Source
AI summary
A computer-implemented method for prioritizing exclusion renewal records is disclosed. The computer-implemented method includes determining vulnerability factors associated with a vulnerability exclusion record. The computer-implemented method further includes generating a vulnerability factor score for each vulnerability factor associated with the vulnerability exclusion record based, at least in part, on a level of risk associated with the vulnerability factor. The computer-implemented method further includes generating a vulnerability score for the vulnerability exclusion record based, at least in part, on the vulnerability factor score for each vulnerability factor. The computer-implemented method further includes updating a previous vulnerability score of the vulnerability exclusion record.