Cybersecurity Framework Scoring and Auto-Suggestion System
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Solution Overview
Problem
Existing cybersecurity frameworks face challenges in determining which controls to improve and how to improve them for client computing systems with unique attributes, desires, and needs, making it difficult to enhance compliance and protect against cyber-attacks.
Innovation Solution
A cybersecurity system that scores and suggests improvements for confidentiality, integrity, and availability by analyzing organizational information and control data, providing auto-suggestions, and verifying implementation of these suggestions to enhance compliance and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a cybersecurity system provides generic compliance guidance based on standard control catalogs, then it can cover all possible security controls, but it cannot provide tailored recommendations for specific client computing systems with unique attributes, desires, and needs
Solution Approach 1:
The system segments the compliance assessment process into multiple components: organizational information collection, control information evaluation, gap analysis, and targeted suggestion generation. This segmentation allows the system to handle complexity in a structured way while providing tailored recommendations for each client's specific attributes and needs.
Solution Approach 2:
The system performs preliminary actions by collecting organizational information and control information before generating recommendations. This preliminary data collection and analysis enables the system to understand each client's unique attributes, desires, and needs, thereby providing customized compliance guidance rather than generic advice.
2Adaptability or versatility
If manual assessment of cybersecurity controls is performed for each client, then tailored recommendations can be provided, but it requires significant time and resources
Solution Approach 1:
The system enables self-service by automatically collecting organizational information, evaluating control information, identifying compliance gaps, and generating tailored suggestions without requiring extensive manual intervention. This automation maintains customized compliance guidance while significantly reducing the time and resources required compared to manual assessment methods.
Solution Approach 2:
The system implements feedback mechanisms where control information and organizational attributes are continuously evaluated against compliance targets. This automated feedback loop enables the system to provide customized recommendations efficiently by systematically analyzing the gap between current state and desired compliance levels without requiring prolonged manual assessment.
3Measurement precision
If comprehensive control information is collected for all cybersecurity controls, then complete compliance assessment can be achieved, but it increases the complexity of data management and analysis
Solution Approach 1:
The system extracts only the relevant control information and organizational attributes that are necessary for assessing compliance with specific security controls. Rather than managing and analyzing all possible control data, the system selectively extracts and processes only the information needed to provide accurate compliance measurements and tailored recommendations, thereby reducing data management complexity while maintaining measurement precision.
4Productivity
If the system provides detailed suggestions for improving each control, then compliance can be enhanced, but it may overwhelm clients with too much information
Solution Approach 1:
The system applies local quality by providing suggestions that are specifically tailored to each client's unique attributes, desires, and needs rather than providing generic advice applicable to all clients. This targeted approach ensures that clients receive actionable, relevant recommendations for improving their specific compliance gaps without being overwhelmed by irrelevant information, thereby enhancing both compliance improvement and user usability.
Data Source
AI summary
A cybersecurity system is provided that sums and scores one or more cybersecurity controls for different client computing systems that each have different attributes, needs, and interests. In addition, the cybersecurity system provides to each different client computing system auto-suggestions that suggest one or more ways in which the client computing system may improve the confidentiality, integrity, and availability of the information stored on the client computing system and/or improve the confidentiality, integrity, and availability of the underlying characteristics of the client computing system. In addition, the cybersecurity system verifies that the functioning of the client computing system has improved.