Zero Trust Gap Prioritization With Cost-Based Migration Recommendations
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Solution Overview
Problem
Current systems lack the ability to automatically suggest an optimal migration path for organizations to transition their architectures to a zero trust configuration, requiring manual consideration of various factors and lacking a mechanism to leverage lessons learned from other organizations.
Innovation Solution
An automated system that identifies gaps in compliance with zero trust requirements, considers organizational specifics, and recommends optimal solutions based on cost and criticality, optionally leveraging collaborative learning from other organizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual migration process is used to transition architecture to zero trust configuration, then organizational requirements and budget considerations can be considered, but the process is time-consuming and error-prone with no automation
Solution Approach 1:
The system performs self-service by automatically analyzing the current architecture state, identifying gaps against zero trust requirements, and generating migration recommendations without human intervention. The automated system evaluates organizational requirements, budget constraints, and security considerations to produce tailored migration paths.
Solution Approach 2:
The manual mechanical process of architects reviewing documentation and making migration decisions is replaced with an automated computational system that uses algorithms to analyze architecture descriptions, evaluate compliance gaps, and generate optimized migration recommendations based on multiple constraints.
2Adaptability or versatility
If manual migration planning is performed, then custom organizational considerations can be addressed, but there is no way to leverage lessons learned from other organizations
Solution Approach 1:
The system incorporates feedback mechanisms where migration outcomes from one organization are captured and used to improve recommendations for subsequent organizations. The automated system learns from successful and unsuccessful migration patterns, refining its algorithms to provide better recommendations while maintaining customization for each organization's specific requirements.
Solution Approach 2:
The system serves multiple organizations simultaneously, providing customized migration planning for each while sharing anonymized insights and lessons learned across the entire user base. This universal platform allows each organization to benefit from collective experience while maintaining adaptability to their unique constraints.
3Productivity
If automated system is implemented to recommend migration solutions, then productivity and consistency are improved, but device complexity increases
Solution Approach 1:
The automated system is segmented into distinct functional modules: architecture analysis module, gap identification module, recommendation generation module, and lessons learned integration module. Each module handles a specific aspect of the migration planning process, making the overall complex system manageable and maintainable while delivering high productivity.
Data Source
AI summary
One example method includes receiving a set of requirements for aspects of a network, identifying a gap between one of the aspects of the network and a zero trust (ZT) requirement, determining a solution set comprising potential solutions for reducing or eliminating the gap, associating a respective cost with each of the solutions, determining an extent to which the solutions of the solution set comply with requirements, recommending a best solution from the solutions of the solution set, determining a priority of the gap relative to respective priorities of other gaps, and outputting a list of the gaps, sorted by priority, and the recommended best solution.