Reconnaissance-Based Integration Point Identification in Computing Infrastructure
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Solution Overview
Problem
Securing computing infrastructure against cyber threats is challenging due to the vast number of potential exploits and lack of visibility into resource connections via computing interfaces, especially in rapidly changing infrastructures and multi-cloud service environments, making manual prioritization unfeasible.
Innovation Solution
Employing reconnaissance techniques to identify and correlate components of the computing infrastructure, mapping resources, and prioritizing mitigation actions based on integration points to enhance cybersecurity and reduce the time and effort required for infrastructure evaluation and vulnerability detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual security analysis is performed on all potential exploits, then security coverage is improved, but time and effort required become unfeasibly large
Solution Approach 1:
The system performs preliminary reconnaissance to automatically discover and map computing infrastructure components, resources, and connections before security analysis is needed. This preliminary mapping enables subsequent security analysis to focus only on identified integration points rather than manually examining all potential exploits, significantly reducing analysis time while maintaining comprehensive security coverage.
Solution Approach 2:
The computing infrastructure performs self-discovery through automated reconnaissance techniques, where the system itself identifies its own components, resources, and connections without requiring manual inventory or configuration. This self-service approach provides complete visibility into the infrastructure automatically, eliminating the need for manual security analysis of all components.
2Measurement precision
If comprehensive visibility into all infrastructure resources and connections is obtained, then security analysis accuracy is improved, but complexity of infrastructure monitoring increases
Solution Approach 1:
The system replaces manual infrastructure mapping and monitoring processes with automated reconnaissance techniques. Instead of mechanically documenting all resources and connections manually, the system uses automated discovery to perform the same function, reducing monitoring complexity while achieving comprehensive visibility into the infrastructure.
Solution Approach 2:
The system segments the infrastructure into distinct components (computing resources, networking resources, storage resources) and their connections, organizing the complex infrastructure into manageable segments. This segmentation approach simplifies monitoring by processing infrastructure elements in organized groups rather than as a monolithic complex system.
3Reliability
If all potential integration points are identified and secured, then security against API abuses is improved, but prioritization capability is reduced
Solution Approach 1:
The system uses feedback from reconnaissance results to automatically identify integration points and prioritize security actions. The feedback loop continuously monitors infrastructure changes and updates the integration point inventory, enabling dynamic prioritization based on current infrastructure state and risk factors, thus maintaining both comprehensive security coverage and effective prioritization.
Solution Approach 2:
The system performs preliminary identification of all potential integration points through automated reconnaissance before security prioritization is needed. This preliminary inventory of integration points, enriched with metadata about their nature and connections, enables subsequent prioritization to focus on the most critical points without losing visibility into less critical areas.
Data Source
AI summary
A system and method for securing a computing infrastructure. A method includes performing reconnaissance with respect to a computing infrastructure in order to identify a plurality of portions of the computing infrastructure and a plurality of components of the computing infrastructure; correlating the plurality of portions of the computing infrastructure with the plurality of components of the computing infrastructure; identifying an integration point among the computing infrastructure based on the correlation, wherein the integration point is one of the plurality of components of the computing infrastructure through which the computing infrastructure is integrable; and performing at least one mitigation action based on the identified integration point.