Access Health Scoring for Reader Permission Risk Reduction
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Solution Overview
Problem
Existing systems struggle to determine optimal access permissions for identities within organizations, leading to potential security risks due to excessive access granted to individuals, which increases the number of attack points.
Innovation Solution
A system that uses statistical algorithms and machine learning to monitor access patterns, calculate health scores, and provide recommendations for optimizing access permissions by rearranging or creating new job roles and access levels, thereby minimizing risks and ensuring identities have only the necessary access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual monitoring of access permissions is implemented, then access control can be customized for each individual, but the system cannot scale effectively as the organization grows and monitoring becomes unsustainable
Solution Approach 1:
The patent replaces manual mechanical monitoring processes with an automated computational system that uses machine learning models to continuously analyze access patterns, calculate health scores, and generate optimization recommendations, enabling the system to scale efficiently while maintaining detailed access control
2Productivity
If excessive access permissions are granted to ensure job performance, then employees can fulfill their duties effectively, but security risks increase due to more attack points
Solution Approach 1:
The patent dynamically adjusts access permissions based on calculated health scores that reflect actual job performance requirements, transforming static access assignments into adaptive parameters that optimize both productivity and security by granting only necessary access levels
Solution Approach 2:
The system continuously monitors access patterns and feeds this information back through health score calculations to automatically adjust and optimize access permissions, creating a closed-loop system that reduces security risks while maintaining job performance
3Object-affected harmful factors
If access permissions are tightly restricted to minimize security risks, then the number of attack points is reduced, but employees may lack sufficient access to perform their duties
Solution Approach 1:
The patent implements dynamic access permission adjustment where health scores are continuously calculated based on monitored access patterns, allowing the system to adaptively grant or restrict access in real-time to balance security requirements with job performance needs
Data Source
AI summary
A system automatically detects unnecessary reader access granted to identities and suggest changes required to bring down the security risk level of an organization. With ever increasing digitization of physical infrastructure, it is not possible to manually monitor and decide who should be able to access what and when, which makes it difficult to ensure that identities have access to just enough readers to fulfill their duties. The system makes sure that all the identities' access is monitored all the time and any vulnerabilities are detected and reported in time, in the form of health score, which is then used to recommend mitigation measures. The system leverages statistical algorithms to produce access recommendations and is replicable in the form of a software interface that can be used in any business/organization or structured work group where identities need to use readers to operate.