3D Vulnerability Models Using Anchor Points for Remediation Prioritization
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Solution Overview
Problem
Vulnerability management in complex computing environments, such as those with containers and multi-cloud deployments, is complicated by the complexity of vulnerability details presented in text format, making it difficult for administrators to understand and prioritize remediation.
Innovation Solution
A method and system for generating 3D models and connections between vulnerabilities, using anchor points based on common attributes to visualize and contextualize vulnerability data, allowing for easier comprehension and prioritization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vulnerability details are presented in text format with comprehensive information, then completeness of vulnerability information is improved, but ease of understanding and prioritization deteriorates
Solution Approach 1:
The patent transforms vulnerability data from traditional 2D text format into 3D visual models. Each vulnerability is represented as a three-dimensional object with dimensions corresponding to different vulnerability attributes (severity, exploitability, impact). This dimensional transformation allows administrators to visually perceive vulnerability relationships and prioritize remediation based on spatial positioning, while preserving all original vulnerability information through interactive exploration capabilities.
Solution Approach 2:
The patent introduces 3D visual models as an intermediary between raw vulnerability data and human comprehension. These visual models serve as a mediator that translates complex text-based vulnerability information into intuitive spatial representations, allowing administrators to understand vulnerability contexts and relationships without directly reading lengthy text descriptions, thus maintaining information completeness while improving ease of understanding.
2Loss of information
If comprehensive vulnerability information is provided across multiple pages with external links, then information completeness is improved, but time required to research and understand vulnerabilities deteriorates
Solution Approach 1:
The patent consolidates multi-page vulnerability information into a single 3D visual representation. All vulnerability attributes, relationships, and contextual information are encoded into the three-dimensional model structure, allowing administrators to access comprehensive information through interactive exploration of the 3D object rather than navigating multiple web pages, thereby significantly reducing research time while maintaining information completeness.
Solution Approach 2:
The patent merges分散 information from multiple sources (product sites, vendor sites, external websites) into a unified 3D vulnerability model. Related vulnerability data, connections, and contextual information are combined into a single integrated visual representation, eliminating the need to separately visit multiple external websites and reducing the time required to gather comprehensive vulnerability information.
3Measurement precision
If vulnerability management systems provide detailed text-based vulnerability descriptions, then accuracy of vulnerability information is improved, but device complexity and difficulty of navigation deteriorates
Solution Approach 1:
The patent uses three-dimensional space to organize and display vulnerability information, replacing complex multi-page text navigation with intuitive spatial exploration. The 3D model structure inherently encodes vulnerability attributes and relationships, providing accurate information through visual properties (size, position, orientation) while simplifying navigation through natural interactions like rotation, zooming, and selection, thereby reducing perceived interface complexity.
Solution Approach 2:
The patent employs visual encoding through color, size, and spatial positioning to represent different vulnerability attributes. This visual language translates accurate but complex text-based vulnerability data into easily distinguishable visual characteristics, allowing administrators to quickly grasp vulnerability information accuracy and relationships without navigating complex text descriptions, thus reducing interface complexity while maintaining information precision.
Data Source
AI summary
Provided are techniques for generating 3-dimensional (3D) models and connections to provide vulnerability context. For a first vulnerability of a first asset, first vulnerability data comprising first vulnerability attributes is retrieved. A second vulnerability of a second asset is identified based on the second vulnerability having second vulnerability data comprising second vulnerability attributes that include one or more common vulnerability attributes with the first vulnerability attributes. Anchor points for the first vulnerability and the second vulnerability are created based on the one or more common vulnerability attributes. A first 3-dimensional (3D) model is generated for the first vulnerability that incorporates the first vulnerability attributes, and a second 3D model is generated for the second vulnerability that incorporates the second vulnerability attributes. The first 3D model and the second 3D model are displayed with one or more connections based on the anchor points.