Contextual Vulnerability Prioritization for IT Remediation Workflows
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Solution Overview
Problem
Vulnerability management in computing environments is challenging due to the continually changing nature of organizational systems and limited resources, making it difficult to identify, assess, and remediate vulnerabilities effectively.
Innovation Solution
A vulnerability management application that contextualizes vulnerability data using asset and activity information, allowing users to modify vulnerability scores based on environmental context and providing dashboards for comprehensive analysis and resource-specific management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive vulnerability scanning is performed across the entire IT environment, then vulnerability detection coverage is improved, but the volume of vulnerability data increases making it overwhelming and difficult to prioritize
Solution Approach 1:
The patent segments vulnerability data by organizing it into different priority levels and categories based on contextual factors such as asset criticality, vulnerability severity, and exploitation risk. This segmentation allows security teams to focus on high-priority vulnerabilities first while still maintaining comprehensive detection coverage across the entire IT environment.
Solution Approach 2:
The patent extracts and isolates critical contextual information from the overall vulnerability dataset, such as asset importance ratings, business impact assessments, and exploitation indicators. By extracting only the most relevant contextual factors, the system reduces the overwhelming volume of raw vulnerability data into actionable intelligence that can be prioritized effectively.
2Measurement precision
If vulnerability scores are adjusted based on contextual information, then prioritization accuracy is improved, but the complexity of vulnerability assessment increases
Solution Approach 1:
The patent performs preliminary contextual assessment by pre-establishing asset criticality ratings, business unit priorities, and vulnerability weightings before the actual vulnerability scoring process. This preliminary action creates a framework that guides subsequent vulnerability assessment, improving prioritization accuracy without requiring complex real-time analysis during the scanning process.
Solution Approach 2:
The patent implements feedback mechanisms where vulnerability scores are continuously refined based on contextual information from asset management systems, security incident data, and exploitation intelligence. This feedback loop allows the system to learn and adapt, improving prioritization accuracy over time while automating the complexity of contextual analysis rather than requiring manual assessment.
3Productivity
If detailed contextual information is collected for each vulnerability, then remediation prioritization is improved, but data collection requirements and processing overhead increase
Solution Approach 1:
The patent creates a universal contextual framework that serves multiple functions simultaneously: asset inventory management, vulnerability prioritization, risk assessment, and remediation tracking. By making the contextual data collection system multi-functional, the same data infrastructure supports various security operations without requiring separate data collection efforts for each function, thereby improving remediation prioritization without proportionally increasing data collection overhead.
Data Source
AI summary
Techniques are described for providing a software-based platform for context-based vulnerability management of information technology (IT) environments. In some examples, a vulnerability management application collects vulnerability scan data, from potentially many different scanning agents, as well as vulnerability information from other third-party sources. The vulnerability management application also accesses asset and activity data associated with an IT environment. The vulnerability management application can provide a user interface contextualizing vulnerabilities, based on the contextual asset or activity data, allowing for user-configured or automated vulnerability risk adjustments to impact the management and remediation of vulnerabilities for the IT environment.