Automated Role Management for Cloud Resource Access
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Solution Overview
Problem
Current permission management systems in cloud computing lack intelligence and usability, often resulting in broadly granted permissions that compromise security by not adequately managing resource access for complex workflows, leading to potential security risks.
Innovation Solution
An automated role management system that analyzes code to generate and manage roles with specific permissions, ensuring only minimal access is granted, thereby enhancing security by dynamically adjusting permissions based on changing resource needs and code changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If blanket permissions are granted to workflows, then ease of operation is improved, but system security deteriorates
Solution Approach 1:
The system dynamically changes permission parameters by analyzing code resource access patterns and automatically adjusting role permissions to match actual needs, transforming static blanket permissions into dynamic, code-adaptive permissions that maintain security while preserving ease of operation
Solution Approach 2:
The system performs self-service by automatically analyzing code, determining required permissions, and configuring roles without manual intervention, eliminating the trade-off between ease of operation and security by making the system self-configuring based on actual resource access needs
2Adaptability or versatility
If manual permission management is used, then adaptability to complex workflows is improved, but device complexity increases
Solution Approach 1:
The system replaces manual mechanical permission management with automated code analysis and role generation, substituting human effort with intelligent systems that automatically determine permissions based on code resource access patterns, reducing complexity while maintaining adaptability
Solution Approach 2:
The system implements feedback by continuously monitoring code changes and automatically updating role permissions accordingly, creating a closed-loop system that adapts to workflow complexity without increasing management burden on users
3Object-affected harmful factors
If automated role generation from code analysis is implemented, then system security is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing code, determining required permissions, and configuring roles without manual intervention, making the automation transparent to users and maintaining ease of operation while improving security
Solution Approach 2:
The system introduces an intermediary automated role management layer between users and resource permissions, which handles the complexity of permission configuration internally while presenting a simple interface to users, thus improving security without deteriorating ease of operation
Data Source
AI summary
Computer systems and methods are disclosed to implement a role manager that automatically analyzes code accessing various resources to generate a role with the necessary resource permissions to execute the code. In embodiments, the role manager may be implemented as part of a workflow orchestration or resource provisioning system that employs code requiring access to different types of resources. In embodiments, the role manager may analyze a code segment to identify the different resources accessed by the code segment and the permissions needed for each access, and generate a role that has the needed permissions. In embodiments, the role manager may automatically manage these roles based on changes to associated code segments. Advantageously, the disclosed role manager removes the need to manually create roles need by code segments ahead of time, and creates roles with minimal privileges required for the code, thereby simplifying achievement of system security.