Autonomous Cybersecurity Optimizer for Network Monitoring
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Solution Overview
Problem
Existing methods for monitoring and representing network computing environments are primitive and lack context, requiring extensive manual efforts to adjust and manage interventions, which is inefficient and time-consuming.
Innovation Solution
A computer-implemented method and system that uses an optimizer program to automatically calculate distances to a system goal, implement changes, and continuously advance towards it, providing improved system integrity and security by enhancing visibility and enabling automated interventions in a network computing environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing methods present search results as tables organized by keys, then users can visually search for data, but the representation is primitive and lacks context useful for network monitoring and security efforts
Solution Approach 1:
The patent transforms the traditional table-based data representation into a graph-based visualization that adds spatial and relational dimensions. Nodes represent entities (devices, users, applications) while edges represent relationships and interactions, creating a multi-dimensional view that preserves contextual information while maintaining visual accessibility for security monitoring
2Ease of operation
If manual efforts are used to adjust interface and manage interventions, then flexibility and control are maintained, but extensive and time-consuming manual efforts are required
Solution Approach 1:
The system implements automated intervention management where the graph visualization and analysis tools automatically adapt to new data patterns and security threats. The system self-adjusts by continuously analyzing network data, identifying anomalies, and presenting relevant security concerns without requiring manual interface reconfiguration, thereby reducing time loss while maintaining operational control
3Productivity
If traditional search methods are used, then simple data lookup is achieved, but enriched monitoring capabilities and automated intervention are not provided
Solution Approach 1:
The graph-based security monitoring system serves multiple functions simultaneously: it visualizes network relationships, detects security anomalies, analyzes attack patterns, and guides automated interventions all within a single unified interface. This multi-functional approach enhances monitoring productivity while consolidating complexity into a comprehensive security platform rather than multiple separate tools
Data Source
AI summary
A computer-implemented method for autonomous cybersecurity. The method may include: receiving data elements relating to resources and/or activity within a network computing environment; feeding at least some of the elements to an optimizer program to calculate a first distance to a system goal; based on the first distance, implementing pre-determined changes in the environment; receiving post-implementation data records relating to resources and/or activity within the environment; calculating a second distance to the system goal by feeding the post-implementation data records to the optimizer program; and configuring the optimizer program for additional advancement toward the system goal based on comparison of the first and second distances.