Cloud Resource Graph Analysis for Misconfiguration Blast Radius
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Solution Overview
Problem
Existing security solutions for cloud resources focus on individual resource types, failing to identify the broader impact of misconfigurations or compromises on related resources, limiting comprehensive security analysis and remediation.
Innovation Solution
A system builds a graph representation of cloud resources and their relationships, using graph analytics like PageRank centrality, SCC, and betweenness centrality to analyze the impact of misconfigurations or compromises on related resources, identifying critical and potentially bottlenecked resources for targeted remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual cloud resource types are checked for misconfigurations, then security checks can be performed for each resource type, but the broader impact on related resources cannot be identified
Solution Approach 1:
The patent transitions from checking cloud resources in isolation (single dimension) to analyzing them through graph relationships (multiple dimensions). By representing cloud resources as nodes and relationships as edges in a graph structure, the system can simultaneously examine individual resource configurations and their interconnected impacts across the entire cloud environment, resolving the contradiction between analysis precision and scope complexity.
Solution Approach 2:
The graph-based security analysis system serves multiple functions: it performs traditional individual resource configuration checks while simultaneously conducting impact analysis across related resources. This multi-functional approach allows a single security analysis mechanism to address both granular resource validation and broader system-wide impact assessment, eliminating the need for separate analysis processes.
2Reliability
If graph-based impact analysis is performed to identify related resources, then comprehensive security analysis is achieved, but computational complexity increases
Solution Approach 1:
The patent segments the cloud resource analysis problem into manageable graph operations. Instead of performing exhaustive full-graph analysis for every security check, the system divides the problem into targeted sub-graph queries based on specific relationship types and impact scenarios. This segmentation allows comprehensive security analysis while controlling computational complexity through selective, focused graph traversals.
3Object-generated harmful factors
If traditional configuration checks are used, then individual misconfigurations can be identified, but the blast radius and impact on other resources remain undetected
Solution Approach 1:
The graph-based analysis system provides feedback loops that trace the impact of misconfigurations through relationship graphs. When a misconfiguration is detected in one cloud resource, the system automatically queries the graph to identify affected related resources and propagates this impact information back to the security analysis, enabling comprehensive understanding of the blast radius while maintaining efficient detection processes.
Data Source
AI summary
A graph representation of cloud resources and their relationships is generated and maintained to provide insights into impact of incidents affecting cloud resources on others in the cloud environment. Cloud resource data for the cloud resources are obtained and relationships among the cloud resources are determined. Relationships among the cloud resources are determined based on analysis of configuration data associated with the cloud resources from which relationships among cloud resources of different types can be inferred, and external sources may also be utilized to facilitate identification of relationships. A graph representation of the cloud resources and their determined relationships is built where the cloud resource data are stored in vertices with directed edges between the vertices representing the identified relationships. The graph can be analyzed based on various graph algorithms to analyze impact of misconfigured or compromised resources to identify related cloud resources that are or would be affected.