Adaptive Network Element Management for Predictive Breach Pathways
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Solution Overview
Problem
Existing systems fail to effectively identify, prevent, and rectify the downstream effects of security threats on computing devices within a network environment.
Innovation Solution
A system that monitors network traffic to detect computing system breaches by analyzing historical data, generating a network topology, and predicting breach pathways, using machine learning to calculate likelihood scores, and automatically implementing remediation steps such as software updates, network segmentation, or system wipes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network traffic monitoring and analysis are implemented to detect security breaches, then security detection capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a security monitoring system as an intermediary component that sits between network traffic sources and destinations. This mediator captures, analyzes, and processes network traffic to detect security breaches without requiring complex modifications to existing systems. The intermediary approach centralizes security functions and simplifies the overall system architecture while maintaining high detection capabilities.
Solution Approach 2:
The security monitoring system is divided into distinct functional modules including traffic capture, analysis engine, detection rules, and response mechanisms. This segmentation allows each component to be optimized independently and facilitates easier maintenance and updates. The modular architecture reduces system complexity by breaking down the monolithic security function into manageable, interchangeable parts.
2Speed
If automated remediation steps are implemented to address security threats, then response speed is improved, but risk of operational disruption increases
Solution Approach 1:
The system pre-configures remediation steps and response protocols before security incidents occur. Detection rules, remediation playbooks, and automated response actions are established in advance based on historical data and security best practices. When a breach is detected, the system executes pre-planned remediation sequences, enabling rapid response without requiring real-time decision-making, thus maintaining operational stability.
Solution Approach 2:
The automated remediation system incorporates feedback loops that continuously monitor the effectiveness of remediation actions. After executing automated responses, the system evaluates whether the breach has been contained and adjusts subsequent actions accordingly. This feedback mechanism prevents over-remediation that could cause operational disruption while ensuring adequate response to actual threats.
3Reliability
If comprehensive network topology mapping is performed to identify breach pathways, then security coverage is improved, but data processing requirements increase
Solution Approach 1:
Instead of uniformly analyzing all network traffic and topology data with the same level of detail, the system applies different analysis depths to different network segments based on their security criticality. High-value assets and critical pathways receive comprehensive analysis, while less critical areas use lighter monitoring. This local quality approach maintains high security coverage for important areas while reducing overall data processing requirements.
Solution Approach 2:
The system performs partial topology mapping focused on critical pathways and high-value assets rather than attempting to map every possible network connection. By concentrating analysis resources on the most security-relevant portions of the network, the system achieves adequate security coverage without the prohibitive data processing requirements of complete network mapping. The approach accepts that some lower-priority areas may have less detailed coverage.
Data Source
AI summary
A system is provided for detecting and remediating computing system breaches using computing network traffic monitoring. In particular, the system may identify one or more technology elements within a network as well as relationships between computing systems associated with said elements to determine a network topology. Based on the network topology, the system may use historical network traffic data associated with the technology elements in the network to generate predicted entry points and lateral pathways of a security breach that may take place within particular computing systems. Then, based on the technology elements affected as well as entry points and path traversals of the breach, the system may generate and/or implement one or more remediation steps to address existing and/or future breaches. In this way, the system may provide an intelligent method of augmenting the security of a computing network.

