Digital Resource Security Risk Assessment via Significance Scoring
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Solution Overview
Problem
Current cyber security solutions face challenges in effectively assessing and managing security risks across multiple computing devices and programs in digital environments, making it difficult to identify and prioritize critical resources for enhanced security.
Innovation Solution
An apparatus and method utilizing a processor and memory to calculate resource significance scores for digital resources, determine critical resources, and analyze associated security risks, employing machine-learning models and fuzzy inferencing systems to prioritize and assess digital security risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive security monitoring is implemented across all digital resources, then security coverage is improved, but system complexity and computational burden increase
Solution Approach 1:
The patent segments the digital environment into multiple zones based on resource significance scores, dividing resources into critical, important, and standard categories. This segmentation allows security monitoring to be focused on critical resources while reducing complexity for standard resources, resolving the contradiction between comprehensive coverage and system complexity.
Solution Approach 2:
The patent applies different security monitoring levels to different resources based on their local characteristics and significance. Critical resources receive enhanced monitoring and analysis, while standard resources receive basic monitoring, allowing comprehensive security coverage without uniformly high complexity across all resources.
2Measurement precision
If resource significance scoring is performed on all digital resources, then identification accuracy is improved, but computational time and processing resources increase
Solution Approach 1:
The patent performs comprehensive resource significance scoring only on critical resources identified in previous iterations, while using simplified scoring or predefined values for standard resources. This partial application of full scoring maintains identification accuracy for critical assets while reducing overall computational time.
Solution Approach 2:
The patent performs preliminary filtering to identify potentially critical resources before applying full resource significance scoring. This preliminary action reduces the number of resources requiring intensive computational analysis, thereby reducing overall computational time while maintaining identification accuracy for critical assets.
3Measurement precision
If detailed security risk analysis is conducted on critical resources, then risk assessment accuracy is improved, but analysis time and processing load increase
Solution Approach 1:
The patent applies detailed security risk analysis selectively to critical resources based on their significance scores, while using simplified risk assessment methods for standard resources. This local differentiation maintains high risk assessment accuracy for critical assets while preserving overall analysis throughput.
Solution Approach 2:
The patent segments resources into critical and standard categories, applying different levels of security risk analysis to each segment. Critical resources receive comprehensive detailed analysis for high accuracy, while standard resources receive streamlined analysis, maintaining productivity across the entire system.
Data Source
AI summary
An apparatus and method for assessing security risk for digital resources are described. The apparatus includes at least a processor and a memory communicatively coupled to the at least a processor. The memory includes instructions configuring the at least a processor to receive digital resource data about a plurality of digital resources in a digital environment, calculate a resource significance score for each digital resource based on the digital resource data, determine at least one critical resource as a function of the resource significance score, and analyze a digital security risk associated with the at least one critical resource.