Component-Level Threat Assessment for Correlated Mitigation Sequencing
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Solution Overview
Problem
Existing threat assessment systems in computing environments fail to efficiently address component-level dependencies, leading to widespread network disruptions and inefficiencies in implementing mitigation protocols, particularly during network intrusions and malfunctions.
Innovation Solution
A system that captures state information, determines correlation measures and threat vectors, and implements mitigation protocols in a prioritized sequence based on weighted correlation measures to minimize the propagation of threat vectors across the computing environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional IT management software is used for threat assessment, then the system is simple to operate, but it cannot effectively address component-level dependencies and correlations
Solution Approach 1:
The patent segments the computing environment into individual components and establishes component-level agents that independently assess threats and correlations. This segmentation enables precise measurement of threat vectors at each component level while managing complexity through distributed intelligence rather than centralized analysis.
Solution Approach 2:
The patent introduces correlation coefficients as an intermediary metric that quantifies the relationship between components. This intermediary enables the system to measure and manage dependencies objectively, transforming complex inter-component relationships into measurable data that can be processed by the threat assessment system.
2Reliability
If mitigation protocols are implemented without considering component correlations, then the implementation process is simple, but threat propagation spreads widely across the network
Solution Approach 1:
The patent calculates correlation coefficients between components before implementing mitigation protocols. This preliminary action identifies which components are most strongly correlated with the affected component, enabling the system to prioritize mitigation implementation in a sequence that prevents threat propagation while maintaining overall network stability.
Solution Approach 2:
The patent uses correlation coefficients as feedback to dynamically adjust the sequence and priority of mitigation protocol implementation. Components with higher correlation coefficients to the affected component receive priority treatment, creating a feedback-driven response that adapts to the specific dependency structure of the computing environment.
3Measurement precision
If component-level information collection is performed, then measurement precision improves, but the quantity of data and processing requirements increase
Solution Approach 1:
The patent extracts only the essential component-level information needed for threat assessment, such as software versions, configuration data, and operational status. By taking out only the necessary data elements rather than collecting all possible information, the system achieves precise component assessment while minimizing data volume and processing requirements.
Solution Approach 2:
The patent applies different levels of information collection depth to different components based on their criticality and correlation coefficients. High-correlation, critical components receive more detailed assessment, while less critical components receive streamlined assessment, optimizing the balance between measurement precision and data quantity through localized quality adjustment.
Data Source
AI summary
Systems, computer program products, and methods are described herein for component-level threat assessment in a computing environment. The present disclosure is configured to capture state information associated with a computing environment; determine correlation measures for the components in the computing environment based on at least the state information; determine threat vectors associated with the components; determine mitigation protocols to be implemented on the components in response to an incidence of the threat vectors on the components; determine a first sequence in which the mitigation protocols are to be implemented based on at least the correlation measures for the components; and implement the mitigation protocols on the components in the first sequence to reduce a propagation effect of the threat vectors across the computing environment.