Self-Service Access System Dynamic Group Identification
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Solution Overview
Problem
Existing self-service systems for user access to networked resources require significant administrative planning and configuration, limiting flexibility and denying access to users who do not fit predefined roles or need access outside their role groups.
Innovation Solution
A self-service system that automatically identifies suitable existing groups for users by analyzing rules and criteria, allowing users to self-select groups based on access rights needed, without requiring administrators to predefine roles, using a weighted analysis and evaluation of grouping practices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If administrators predefine groups according to roles, then access management becomes structured and controllable, but flexibility is reduced and users who do not fit predefined roles are denied access
Solution Approach 1:
The system enables users to autonomously identify and join appropriate groups based on their access needs without administrator intervention. The automated group identification system analyzes user requests, evaluates existing groups against criteria, and recommends suitable groups, allowing users to self-configure their access rights.
Solution Approach 2:
The system dynamically identifies suitable groups based on real-time analysis of user access requests and existing group characteristics. Rather than relying on static predefined roles, the system adapts group recommendations based on current system state, user needs, and evaluated criteria, making the access management flexible and responsive.
2Productivity
If administrators manually manage user access to resources, then access control is precise and secure, but significant time and effort are required
Solution Approach 1:
The system automates the group identification and recommendation process, eliminating the need for administrators to manually evaluate and assign users to groups. Users independently identify suitable groups through the automated system, dramatically reducing administrative time and effort while maintaining secure access control.
Solution Approach 2:
The system replaces manual administrative processes with automated computational analysis. The automated group identification system uses algorithms to evaluate groups against multiple criteria and generate recommendations, substituting mechanical human effort with automated information processing.
3Ease of operation
If the system provides detailed group recommendations, then users can make informed access decisions, but the system complexity increases
Solution Approach 1:
The system acts as an intermediary between user access requests and existing groups, providing automated analysis and recommendations. This intermediary function simplifies the complex task of group selection by presenting users with pre-evaluated recommendations based on multiple criteria, making the process easier while managing system complexity internally.
Data Source
AI summary
A self-service system is provided that can automatically identify one or more existing groups to which a user can self-select to access a resource. The self-service system can identify any suitable existing group without requiring an administrator to predefine groups according to roles. In some implementations, the system intelligently identifies one or more suitable groups for a user from a list of available groups by analyzing a set of rules or criteria. For instance, the system can perform a weighted analysis of various rules and/or criteria to automatically and dynamically identify groups that have a closest fit to the access rights needed or requested by the user. Further, the system can evaluate certain best or preferred grouping practices to identify suitable groups. As a result, in certain embodiments, the self-service system alleviates planning burdens on administrators and provides greater flexibility in providing users with access to resources.