Multi-Channel Vulnerability Detection With Remediation Circuitry
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Solution Overview
Problem
Existing cybersecurity monitoring architectures and software lack comprehensive insights into security vulnerabilities across multiple data planes and require separate cataloguing of assets, leading to missed vulnerabilities due to incomplete infrastructure or software ecosystem changes.
Innovation Solution
A computer system and method that integrates multi-channel data fusion to identify vulnerabilities by analyzing device connectivity and IP traffic data, generating scanner URLs, and transmitting them to computing systems for centralized scanning and remediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing cybersecurity monitoring architectures are used, then monitoring of a particular data plane is achieved, but insights into security vulnerabilities across multiple data planes are limited
Solution Approach 1:
The patent merges multiple data plane monitoring capabilities into a single cybersecurity monitoring system. The system simultaneously monitors network data plane, infrastructure data plane, and application data plane by integrating multiple data channels, allowing comprehensive vulnerability detection across all planes without requiring separate monitoring systems.
Solution Approach 2:
The monitoring system is designed with multi-functionality to handle diverse data types from different data planes. It can process network traffic data, infrastructure configuration data, and application log data through a unified analysis engine, making the system adaptable to various monitoring needs across multiple data planes.
2Reliability
If separate asset catalogues are maintained, then asset tracking is achieved, but new vulnerabilities from infrastructure changes may be missed
Solution Approach 1:
The system performs preliminary discovery of assets and their relationships across the infrastructure before vulnerabilities can be exploited. By continuously discovering new assets and updating the asset graph proactively, the system ensures that new infrastructure components are identified and monitored before they become security risks.
Solution Approach 2:
The system implements continuous feedback loops where vulnerability detection results feed back into asset discovery and relationship mapping. When new vulnerabilities are detected, the system automatically updates its understanding of the infrastructure topology and asset relationships, ensuring that future vulnerability assessments are based on current infrastructure state.
3Measurement precision
If traditional vulnerability scanning is used, then specific vulnerabilities are detected, but comprehensive multi-channel security analysis is not achieved
Solution Approach 1:
The system segments vulnerability detection into specialized modules for different data planes: network vulnerability detection, infrastructure vulnerability detection, and application vulnerability detection. Each module focuses on specific vulnerability types and data formats, improving detection precision while allowing the overall system to remain manageable through modular architecture.
Data Source
AI summary
A system includes a data channel configured to provide device connectivity data associated with an entity, a data channel communication network configured to communicate the device connectivity data from the data channel, and a processing circuit communicatively coupled to the data channel via the data channel communication network. The processing circuit is structured to identify a vulnerability associated with a property of the device connectivity data, generate a scanner uniform resource locator (URL) based on the property of the device connectivity data, the scanner URL including a parametrized scanner executable structured to accept as a parameter at least a part of the property of the device connectivity data, and transmit the scanner URL to a computing system.