Endpoint Device Container for Security Deployment Verification
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Solution Overview
Problem
Current methods for verifying security technology deployment efficacy across computer networks are inefficient, as they fail to accurately aggregate and visualize the deployment of multiple security technologies across endpoint devices, leading to incorrect assumptions about configuration and compliance.
Innovation Solution
A method that accesses and aggregates objects published by security technologies, partitions them into endpoint device containers, generates manifests, and labels devices with deployed security technologies, allowing for visualization of security technology permutations and compliance with security policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods are used to verify security technology deployment, then the process is simple, but the accuracy of deployment verification is insufficient
Solution Approach 1:
The verification process is segmented into distinct phases: data collection from security technologies, data aggregation into endpoint device containers, manifest generation, and visualization. This segmentation allows complex verification to be broken down into manageable steps, improving accuracy while maintaining operational clarity.
Solution Approach 2:
Endpoint device containers serve as intermediaries that aggregate data from multiple security technologies and normalize it into a unified structure. This intermediary mechanism enables accurate deployment verification across heterogeneous security products without increasing operational complexity at the user level.
2Loss of information
If multiple security technologies are aggregated, then deployment efficacy is accurately measured, but data processing complexity increases
Solution Approach 1:
Data from multiple security technologies is merged into unified endpoint device containers that preserve information about all deployed technologies. This merging approach ensures complete deployment information is maintained while the system automatically handles the complexity of integrating heterogeneous data sources.
Solution Approach 2:
The endpoint device container structure serves multiple functions: it stores data from different security technologies, normalizes the data into a consistent format, and prepares it for visualization and analysis. This multi-functionality reduces overall system complexity by consolidating processing tasks into a unified framework.
3Measurement precision
If comprehensive visualization is provided, then compliance assessment is improved, but system resource consumption increases
Solution Approach 1:
Data aggregation and manifest generation are performed as preliminary actions before visualization is requested. By pre-processing and organizing data into structured containers and manifests, the system reduces resource consumption during visualization operations while maintaining comprehensive compliance assessment capabilities.
Data Source
AI summary
A method for monitoring endpoint devices affiliated with a computer network includes: for each security technology, accessing a set of objects generated by the security technology during a time interval and representing characteristics endpoint devices configured with the security technology, partitioning object groups representing individual endpoint devices, and aggregating characteristics represented in each object group into an endpoint device container associated with the security technology and containing identifying data and status data representing one endpoint device; identifying a first subset of endpoint devices configured with first and second security technologies based on correspondence between data contained endpoint device containers associated with the first and second security technologies; and identifying a second subset of endpoint devices configured with the first security technology and excluding the second security technology based on absence of correspondence between data contained in endpoint device containers associated with the first and second security technologies.