Security Maturity Assessment System for Distributed IT Environments
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Solution Overview
Problem
Organizations face challenges in assessing and improving their security maturity across evolving IT environments with resources located across different jurisdictions, as existing solutions fail to provide comprehensive visibility and actionable insights for enhancing their cybersecurity posture.
Innovation Solution
A system that collects data from multiple IT sources using custom rules, determines criticality scores, and calculates a security maturity score using a logistic equation, identifying gaps and recommending improvements based on benchmarking against industry standards and best practices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations implement multiple security measures across distributed IT environments, then security coverage is improved, but assessment capability deteriorates due to lack of comprehensive visibility
Solution Approach 1:
The system segments the assessment into multiple dimensions including data source coverage, asset collection coverage, use case coverage, and compliance coverage. Each dimension is evaluated separately and then aggregated to provide a comprehensive security maturity score, enabling precise measurement across distributed environments.
Solution Approach 2:
The system provides a universal assessment framework that can evaluate diverse security measures across different jurisdictions and IT environments through a single integrated platform, enabling comprehensive visibility and assessment capability simultaneously.
2Adaptability or versatility
If organizations expand IT resources across different jurisdictions, then business versatility is improved, but security assessment complexity increases
Solution Approach 1:
The system adds a new dimension of assessment by evaluating security maturity across multiple jurisdictions and compliance frameworks simultaneously, transforming the complex multi-jurisdictional assessment into a structured multi-dimensional evaluation that simplifies the overall process.
Solution Approach 2:
The system changes the assessment parameters by introducing standardized metrics for data source coverage, asset collection coverage, use case coverage, and compliance coverage, enabling consistent evaluation across different jurisdictions despite varying security requirements.
3Quantity of substance
If organizations collect data from multiple data sources, then data coverage is improved, but processing complexity increases
Solution Approach 1:
The system segments data collection and processing by data source type, applying specific processing rules and validation logic for each source. This modular approach enables comprehensive data coverage while managing processing complexity through structured segmentation.
Data Source
AI summary
Systems and methods for assessing, tracking and improving security maturity of an organization are provided. Described is a system for assessing security maturity of an organization. The system receives a list of data sources located across multiple jurisdictions for the organization, collects data sources/data using custom rules from a plurality of data sources of the list of data sources, determine criticality score for each of the plurality of data sources, calculates data source coverage and asset collection coverage, determines use case coverage, and determines security maturity score using a maturity score model. The maturity score model is a logistic equation which is a function of the data source coverage, the asset collection coverage, the criticality score associated with each of the plurality of data sources, the use case coverage, asset coverage by each the plurality of data sources.