Cybersecurity Gap Assessment via Segmented Knowledge Management
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Solution Overview
Problem
Current cybersecurity defense systems fail to effectively identify and remediate gaps, leading to potential harmful intrusions, as they lack comprehensive assessment and prioritization methods for improving security controls.
Innovation Solution
The Knowledge Management System (KMS) assesses an organization's information security posture by using multiple-choice questionnaires to identify and quantify gaps in cybersecurity defenses, providing prescriptive and prioritized recommendations for improvement based on industry norms and threat intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive cybersecurity assessment methods are implemented, then security gap identification capability is improved, but system complexity increases
Solution Approach 1:
The cybersecurity assessment system is segmented into multiple independent modules: threat intelligence module, asset inventory module, vulnerability assessment module, control evaluation module, and gap analysis module. Each module handles a specific aspect of the assessment, making the overall complex system manageable and maintainable while achieving comprehensive security gap identification.
Solution Approach 2:
A centralized knowledge base acts as an intermediary component that stores and manages security controls, threat intelligence, and assessment criteria. This intermediary layer enables different assessment modules to access and share information without direct complex interactions, simplifying the system architecture while maintaining comprehensive assessment capabilities.
2Reliability
If prioritized remediation recommendations are provided, then remediation effectiveness is improved, but assessment processing time increases
Solution Approach 1:
The system pre-calculates and stores remediation recommendations with priority rankings based on risk severity, exploitability, and business impact during the assessment phase. By preparing prioritized remediation paths in advance rather than calculating them after full assessment, the system achieves effective prioritization without significantly increasing total processing time.
Solution Approach 2:
The system dynamically adjusts assessment depth and detail based on risk parameters. For high-risk areas, comprehensive assessment is performed, while for lower-risk areas, streamlined assessment is used. This parameter-based adaptation allows the system to balance remediation effectiveness with processing time efficiency.
Data Source
AI summary
A method for identifying gaps in an organization's cyber defenses, and identifying and prioritizing remediations that are designed to eliminate those gaps, including using multiple choice questionnaires, wherein the answers to a series of multiple choice questions are scored for inherent risk, selecting security controls and calculating expected maturity scores for these controls based on the inherent risk score, using multiple choice questionnaires, wherein the answers to a series of multiple-choice questions are scored for actual control maturity, aggregating said actual and expected maturity scores and comparing these to identify and quantify gaps, and recommending and prioritizing control improvements that are designed to raise the score to an expected level. These steps are implemented using a computing device. In this manner the organization can identify a sequenced set of concrete steps it can take to achieve reasonable and effective security.