Cyber Control Monitoring With Objective Health Scoring
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Solution Overview
Problem
Current methods for monitoring system controls are inefficient and time-consuming, making it difficult to quickly identify and mitigate cyber threats in real-time, as they lack a standardized and objective way to evaluate the health of system controls and allocate resources effectively.
Innovation Solution
A system that receives data from multiple sources, analyzes control health variables in real-time, maps their values to a cyber health scale, and uses machine learning to identify potential issues and initiate mitigation actions based on objective scores compared to predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time monitoring and evaluation of system controls is implemented, then the speed of identifying and mitigating cyber threats is improved, but the complexity of the monitoring system increases
Solution Approach 1:
The monitoring system is divided into distinct functional modules: data collection module, control health variable evaluation module, objective score determination module, and mitigation action module. Each module handles specific tasks independently, enabling real-time processing while maintaining system manageability and reducing overall complexity.
Solution Approach 2:
The system transforms raw control health variable data into standardized objective scores through defined threshold ranges and mapping functions. This parameter transformation approach enables rapid real-time evaluation without requiring complex analysis algorithms, thus improving speed while keeping the system relatively simple.
2Measurement precision
If comprehensive data analysis is performed to evaluate control health variables, then the precision of threat identification is improved, but the time required for analysis increases
Solution Approach 1:
The system pre-establishes threshold ranges and mapping criteria for control health variables before actual monitoring begins. This preliminary configuration allows the system to perform rapid real-time comparisons and score determinations without requiring complex runtime calculations, thus achieving both high precision and fast analysis.
Solution Approach 2:
The system replaces complex mechanical or manual analysis processes with automated computational evaluation. By using algorithmic threshold comparisons and objective score mapping, the system achieves precise threat identification in real-time without the time-consuming manual analysis that would otherwise be required.
3Reliability
If multiple control health variables are monitored simultaneously, then the completeness of system evaluation is improved, but the difficulty of comparing and prioritizing issues increases
Solution Approach 1:
The system applies a universal objective score framework that can evaluate multiple different control health variables using the same standardized threshold ranges and mapping functions. This universal approach enables comprehensive monitoring of diverse system controls while maintaining ease of comparison and prioritization through consistent scoring, thus improving reliability without increasing difficulty.
Data Source
AI summary
Arrangements for dynamic system control evaluation and issue identification and mitigation are provided. In some examples, data may be received from a plurality of sources. The data may be received in batches at predetermined intervals or time periods, and/or as streaming data. In some examples, a first system control may be identified and a first system control value may be determined for the first system control. A plurality of threshold ranges associated with the first system control may be identified and the first system control value may be compared to the plurality of threshold ranges. Based on the comparing, the first system control value may be mapped to an objective score on a cyber health scale. The objective score may then be evaluated to determine whether an issue is occurring or is likely to occur. If so, one or more mitigation actions may be identified and implemented.