Automated Permissions Management via User Action Simulation
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Solution Overview
Problem
Current permissions management systems require manual authorization of permissions for users, which is time-consuming and does not effectively manage new roles or custom configurations, leading to inefficiencies in establishing and maintaining permissions.
Innovation Solution
A method involving an impersonation role as a delegated user, where actions are simulated and harmonized within a system to establish a user profile, including automated monitoring and verification phases to optimize permissions management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual authorization of permissions is used, then permission management can be controlled and verified, but it is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary actions by monitoring user activities and automatically generating permission recommendations before formal permission grants are needed. This includes tracking user actions, analyzing usage patterns, and pre-configuring permission sets based on observed behaviors, thereby reducing the time required for manual permission authorization.
Solution Approach 2:
The system enables self-service by allowing users to implicitly define their own permission requirements through their actual usage patterns. The automated permission management system observes user activities, infers necessary permissions, and proposes grants without requiring administrators to manually analyze each user's needs, thus improving efficiency while maintaining controlled verification.
2Ease of manufacture
If default permissions are configured, then initial setup is faster, but it does not eliminate the need for manual adjustment of roles and custom configurations
Solution Approach 1:
The system transforms static default permission configurations into dynamic, adaptive permission sets that automatically adjust based on observed user behaviors. Permissions are not fixed but evolve over time as the system learns from user activities, eliminating the need for manual adjustments while maintaining ease of operation through continuous automatic optimization.
Solution Approach 2:
The system implements feedback loops where user activities are continuously monitored and fed back into the permission management system. This feedback mechanism allows the system to automatically refine and adjust permissions based on actual usage patterns, ensuring that default configurations remain optimal without requiring manual intervention for customization.
3Productivity
If automated permission granting is implemented, then efficiency is improved, but verification and accuracy may be compromised
Solution Approach 1:
The system introduces an intermediary verification layer that acts as a mediator between automated permission generation and final permission grants. This intermediary component reviews automated recommendations, applies validation rules, and ensures accuracy before permissions are finalized, thereby maintaining both high efficiency and reliable verification without compromising permission accuracy.
Data Source
AI summary
A permissions management system (PMS) defines the permissions associated with a user and thereby the activities the user can perform with any specific object and/or application or class of objects and/or applications. However, such a PMS requires an administrator to either authorise each permission individually or default permissions to a configuration previously established. The former is time consuming and the latter does not eliminate the former in establishing the roles initially or new roles or custom configurations. According, methods and systems for automating the establishment of permissions and their ongoing maintenance are presented based upon an initial discovery phase of actions performed by either the user or an administrator followed by an automated harmonization phase and a verification phase. This verification phase may employ human interactions or be automated exploiting an artificial intelligence engine.