Cybersecurity Maturity Forecasting Dashboard
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Solution Overview
Problem
Current cybersecurity frameworks, such as the NIST Cybersecurity Framework, face challenges in providing organizations with a dynamic and detailed analysis of their cybersecurity maturity levels and scores over time, leading to inconsistencies and a lack of forward-looking assessments.
Innovation Solution
A system comprising server computers configured to execute database queries and remote procedure calls to track and update project objectives within a cybersecurity framework, allowing for the calculation and display of current and future cybersecurity compliance levels, enabling organizations to forecast their maturity scores and demonstrate progress to stakeholders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cybersecurity frameworks are used for assessment, then organizations can evaluate their current security posture, but they cannot dynamically forecast future maturity levels or track progress over time
Solution Approach 1:
The system transforms static cybersecurity assessments into dynamic forecasts by continuously monitoring project objectives and automatically updating maturity scores over time. The framework tracks progress from initial assessment through implemented projects to forecast future maturity levels, enabling organizations to see how security posture evolves rather than relying on snapshot evaluations.
Solution Approach 2:
The system performs preliminary forecasting of future cybersecurity maturity levels based on planned projects and objectives before they are implemented. By analyzing the pipeline of security initiatives and their expected impacts, the framework predicts future compliance scores and maturity levels, allowing organizations to proactively plan and adjust their security roadmaps.
2Reliability
If manual cybersecurity assessments are performed, then organizations can evaluate their security status, but the process is time-consuming and subject to human error and inconsistency
Solution Approach 1:
The system enables self-service cybersecurity assessment by automatically collecting data from multiple sources, calculating maturity scores, and generating forecasts without requiring manual intervention. The framework autonomously tracks project objectives, monitors system processes, and updates assessments continuously, eliminating the need for time-consuming manual evaluations while ensuring consistent application of the cybersecurity framework.
Solution Approach 2:
The system implements continuous feedback loops where maturity scores and forecast data are automatically updated based on project completion status and system process performance. This real-time feedback mechanism ensures assessments remain current and accurate without requiring repeated manual evaluations, maintaining reliability while reducing time investment.
3Measurement precision
If detailed tracking of project objectives is implemented, then organizations can forecast maturity scores accurately, but the system complexity increases
Solution Approach 1:
The system achieves detailed tracking with manageable complexity by creating a universal framework that can assess multiple cybersecurity domains simultaneously. The single framework evaluates various security functions (identity management, access control, data protection, etc.) through common maturity scoring and forecasting mechanisms, allowing comprehensive assessment without proportionally increasing system complexity.
Solution Approach 2:
The system manages complexity by focusing on key maturity score parameters and forecast variables rather than tracking every possible security metric. By identifying and monitoring the most critical parameters that drive cybersecurity maturity, the framework achieves accurate forecasting while maintaining system simplicity and avoiding unnecessary complexity from exhaustive tracking of all possible security attributes.
4Loss of information
If organizations monitor their cybersecurity progress continuously, then they can demonstrate accountability to stakeholders, but the effort and resources required increase
Solution Approach 1:
The system automatically generates compliance progress reports and maturity forecasts without requiring manual data collection or report preparation. By continuously monitoring project objectives and calculating maturity scores in the background, the framework provides ready-to-use accountability information to stakeholders, eliminating the manual effort previously required to track and report compliance progress.
Solution Approach 2:
The system provides continuous feedback to stakeholders through automated reporting of maturity scores and forecast trends. This ongoing feedback loop demonstrates accountability by showing progress over time and predicting future compliance levels, allowing organizations to communicate security posture effectively without investing significant resources in manual reporting efforts.
Data Source
AI summary
Systems and methods of the present invention provide for executing a first database query selecting a project objective data record storing a forecast maturity score and a forecast date earlier in time than a current date. The forecast maturity score defines a level of compliance with a cybersecurity framework and the forecast date identifies a date by which an organization will achieve the level of compliance. The system executes a remote procedure call to determine whether a system process is performing a project objective defined within the project objective data record, and responsive to a determination that the system process is not performing the project objective, execute a second database query updating the forecast date within the project objective data record.