Vulnerability Risk Scoring Using Real-Time Exploitation Signals
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Solution Overview
Problem
Conventional cybersecurity vulnerability analysis techniques fail to incorporate real-time intelligence on the degree of current exploitation, leading to inaccurate risk assessments and inefficient allocation of resources, as they often notify users about vulnerabilities without distinguishing between those that require immediate attention and those that do not.
Innovation Solution
A method that integrates data on the current degree of exploitation of cybersecurity vulnerabilities, using factor weights to determine dynamic risk scores, allowing for prioritization and efficient allocation of resources to address high-risk vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cybersecurity vulnerability analysis techniques are used, then vulnerability notifications can be sent to users, but accurate risk assessment and efficient resource allocation cannot be achieved
Solution Approach 1:
The patent changes the parameters used in vulnerability analysis by incorporating real-time exploitation data, attack vectors, and dynamic risk factors. Instead of using static vulnerability databases, the system continuously updates risk scores based on current exploitation patterns, making both risk assessment accuracy and resource allocation efficiency achievable simultaneously
Solution Approach 2:
The system implements feedback loops that continuously monitor exploitation data, attack vectors, and vulnerability status. This feedback mechanism allows the risk assessment to be dynamically updated based on real-time information, enabling accurate risk measurement and efficient resource allocation to address actively exploited vulnerabilities
2Reliability
If all vulnerabilities are treated equally, then comprehensive coverage is achieved, but resource waste occurs on low-risk vulnerabilities
Solution Approach 1:
The patent applies local quality by differentiating vulnerability treatment based on individual risk characteristics. Each vulnerability is assigned a dynamic risk score based on its specific exploitation data, attack vectors, and contextual factors. This allows comprehensive coverage of all vulnerabilities while directing security resources specifically to high-risk ones, eliminating waste on low-risk items
Solution Approach 2:
The system transitions from static vulnerability management to dynamic risk-based management. Risk scores are continuously updated based on real-time exploitation patterns, making the vulnerability prioritization dynamic. This enables the system to maintain comprehensive coverage while adaptively allocating resources to currently high-risk vulnerabilities only
3Measurement precision
If real-time exploitation data is incorporated, then risk assessment accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements a universal vulnerability analysis platform that handles multiple functions: collecting exploitation data, analyzing attack vectors, calculating risk scores, and generating prioritized lists. By consolidating these functions into a single integrated system, the patent reduces overall complexity while maintaining high measurement precision through comprehensive data analysis
Data Source
AI summary
Techniques for analyzing cybersecurity vulnerabilities in a computing environment, including: using at least one computer hardware processor to perform: (A) identifying a first cybersecurity vulnerability associated with a resource in the computing environment; (B) obtaining data related to one or more factors related to risk posed by the first cybersecurity vulnerability, the one or more factors including at least one factor indicative of a degree of current exploitation of the first cybersecurity vulnerability; (C) determining, using the obtained data, one or more factor weights for the one or more factors related to the risk posed by the first cybersecurity vulnerability; (D) determining a first score for the first cybersecurity vulnerability using the determined one or more factor weights; and (E) performing one or more security actions based on the determined first score for the first cybersecurity vulnerability.