5G Cloud Permission Rightsizing for Least-Privilege Drift Control
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Solution Overview
Problem
Existing systems struggle to implement the principle of least privilege effectively in dynamic and complex cloud-based 5G networks, particularly in environments with high turnover and atypical networking techniques, leading to permission drift and increased cybersecurity risks.
Innovation Solution
An automated process assesses account and group drift by comparing used and granted permissions, generating drift scores, and adjusting permissions to align with recommended settings, creating new groups, and revoking unnecessary access to reduce group inconsistency and enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual access controls are applied, then security can be maintained, but friction increases and turnover becomes difficult to manage
Solution Approach 1:
The system automatically applies least privilege access controls by analyzing usage data and generating permission recommendations without requiring manual intervention. The access control system self-adjusts user permissions based on observed behavior patterns, eliminating the need for manual security administration while maintaining strong security postures.
Solution Approach 2:
The system dynamically changes access control parameters by continuously monitoring usage patterns and adjusting permission levels automatically. When usage behavior changes, the system modifies permission parameters in real-time, transforming static manual access controls into dynamic automated controls that adapt to changing conditions.
2Adaptability or versatility
If access permissions are expanded to accommodate dynamic user roles, then adaptability improves, but permission drift increases
Solution Approach 1:
The system continuously monitors actual usage patterns and provides feedback to automatically adjust permissions. When users assume new roles or access patterns change, the system detects these changes through usage data analysis and automatically updates permissions to match current needs, preventing permission drift while maintaining adaptability.
Solution Approach 2:
The access control system transitions from static manual permissions to dynamic automated permissions that continuously adapt to changing user roles and behaviors. The system automatically adjusts permission parameters in response to observed usage patterns, ensuring permissions remain consistent with current operational needs.
3Reliability
If permissions are manually applied, then control is maintained, but productivity decreases due to time-consuming processes
Solution Approach 1:
The access control system performs self-service by automatically analyzing usage data, generating permission recommendations, and applying access controls without human intervention. This eliminates manual permission management tasks while maintaining reliable access control, significantly improving productivity.
Solution Approach 2:
The system performs preliminary analysis of usage patterns and pre-generates permission recommendations before actual access control changes are needed. By proactively identifying permission needs based on observed behavior, the system eliminates reactive manual permission adjustments and improves overall efficiency.
4Reliability
If existing security tools are used, then basic access control is provided, but they fail to handle complex cloud-based 5G networking techniques
Solution Approach 1:
The system adapts to complex cloud-based 5G networking techniques by dynamically changing access control parameters to match the specific requirements of different network environments. It automatically adjusts permission models to accommodate virtualized network functions, network slicing, and other 5G-specific architectures.
Solution Approach 2:
The access control system provides universal functionality that works across multiple network architectures including traditional networks, cloud-based networks, and 5G networks. The system can handle diverse networking techniques and cloud configurations through a single unified approach, eliminating the need for separate security tools for different environments.
Data Source
AI summary
Systems, methods, and devices for managing permissions generate a first list of excess permissions of a first user account belonging to a group, score a first account drift of the first user account based on the list of excess permissions, and generate a second list of excess permissions associated with a second user account belonging to the group. A second account drift of the second user account is scored based on the second list of excess permissions. A group consistency is scored based on the first account drift and the second account drift. A first new configuration of permissions for the first user account and the second user account is determined to increase the group consistency. Removing a permission from the first user account and the second user account implements the first new configuration. Removing the permission may include removing the first and second user accounts from the group.