Network Security Assessment System Using Segmented Risk Scoring
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Solution Overview
Problem
Existing security systems struggle to rapidly assess and enhance the security status of computer networks, especially those connected to unsecured or externally unverified networks, due to the complexity of threats and the need for continuous updates.
Innovation Solution
A process that collects and parses network configuration and environment information to identify security risks, assigns cumulative security scores, and provides suggested changes to improve security, utilizing AI for real-time security assessments and filter set generation for Network Access Control platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a customized Zero-Trust security approach is implemented, then security assessment capability is improved, but system complexity and implementation burden increase
Solution Approach 1:
The security assessment system segments the network into multiple assessment zones (e.g., critical assets, sensitive data, general infrastructure) and applies different assessment criteria and depths to each segment. This allows comprehensive security evaluation without requiring uniform complex assessment of every network component, thereby improving reliability while managing system complexity.
Solution Approach 2:
The system performs preliminary security assessments using automated scanning and configuration analysis before full Zero-Trust implementation. This preliminary action identifies baseline security posture, critical vulnerabilities, and high-risk areas, enabling prioritized remediation and reducing the overall complexity of the implementation process.
2Reliability
If continuous security monitoring and updates are performed, then security posture is improved, but time and operational burden increase
Solution Approach 1:
The system implements periodic security assessments at scheduled intervals (e.g., daily, weekly, monthly) rather than continuous monitoring. Critical security parameters are monitored continuously with automated alerting, while comprehensive assessments occur periodically. This balances security posture improvement with reduced operational burden and time investment.
Solution Approach 2:
The security assessment system performs self-service operations including automated vulnerability scanning, configuration analysis, and risk calculation without requiring constant human intervention. The system automatically updates security databases, re-assesses risks after changes, and generates reports, significantly reducing the time and operational burden on security personnel.
3Reliability
If comprehensive security assessment of external networks is attempted, then security coverage is improved, but assessment accuracy decreases due to unavailable security information
Solution Approach 1:
The system applies different assessment qualities to different network regions: internal networks receive comprehensive deep assessments with high precision, while external networks receive focused assessments of critical entry points and known vulnerabilities. This local differentiation maintains high assessment accuracy for internal assets while still providing meaningful security coverage of external networks despite limited information availability.
Solution Approach 2:
The system proactively identifies and addresses known external threats, vulnerability patterns, and common attack vectors before they can exploit unknown weaknesses. By pre-configuring protection against documented external risks and using intelligence from threat feeds, the system compensates for the inability to perform deep assessments of external networks, maintaining both coverage and effective accuracy.
4Adaptability or versatility
If manual security configuration updates are performed frequently, then security adaptability is improved, but operational efficiency decreases
Solution Approach 1:
The system continuously monitors security configurations, vulnerability databases, and threat intelligence, then automatically feeds this information back to update security policies and controls. This closed-loop feedback mechanism ensures security adaptability to new threats and configurations while eliminating manual update processes, thereby maintaining high adaptability with improved operational efficiency.
Solution Approach 2:
The system replaces manual mechanical processes of security configuration updates with automated computational processes. Scripts and automation frameworks systematically apply security updates, policy changes, and configuration modifications across the network infrastructure, dramatically improving operational efficiency while maintaining full security adaptability through automated response to emerging threats.
Data Source
AI summary
A process for enhancing network security includes collecting network configuration and network environment information from users, including the identification of suppliers of goods and services. The collected information is parsed to identify individual security risks and a value is assigned to each security risk identified. A cumulative security score is calculated for each user using the values assigned to each security risk, and suggestions are offered to improve security.