Privilege Graph Access Mapping Across Heterogeneous Data Environments
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Solution Overview
Problem
Modern enterprises face challenges in managing and tracking data access authorizations across diverse and complex data environments, which are often hosted by different systems and platforms, making it difficult for administrators to monitor and manage user privileges effectively.
Innovation Solution
A privilege graph is used to represent and manage data access authorizations, allowing administrators to visualize and traverse user attributes to determine access subsets, enabling dynamic role assignments, anomaly detection, and alerting mechanisms to ensure secure and efficient access management across multiple data environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple different database systems and platforms are used to manage data environments, then the functionality and capabilities of data management are improved, but the complexity of tracking and managing user access permissions across these environments increases significantly
Solution Approach 1:
The patent introduces a centralized access management system that acts as an intermediary between users and multiple heterogeneous database systems. This system maintains a global view of all data environments and automatically translates user authentication requests into appropriate access controls for each specific database platform, eliminating the need for administrators to manually track permissions across multiple systems.
Solution Approach 2:
The access management system provides universal functionality that works across all different database systems and platforms. By implementing a unified authentication and authorization framework, the system can manage user access to diverse data environments (relational databases, NoSQL databases, data lakes, cloud-based systems) through a single interface, making the management process platform-agnostic.
2Quantity of substance
If the number of data environments and data tables increases to thousands of elements, then the data storage and processing capabilities are improved, but the ability of human administrators to track and manage user access permissions deteriorates
Solution Approach 1:
The system implements self-service capabilities where user access permissions are automatically assigned and updated based on predefined policies and user roles. When users are added to or removed from specific groups or roles, the system automatically propagates these changes across all relevant data environments, eliminating the need for administrators to manually update thousands of individual access permissions.
Solution Approach 2:
The access management system continuously monitors and tracks user access permissions across all data environments, providing real-time feedback to administrators about who has access to what data. This includes generating automated reports, alerting administrators to unauthorized access attempts, and maintaining an audit trail of all access events, making it feasible to manage permissions even in environments with thousands of data elements.
3Reliability
If centralized control over user access permissions is implemented across all data environments, then security and management efficiency are improved, but the flexibility of individual platform-specific access mechanisms is reduced
Solution Approach 1:
The access management system dynamically adapts to platform-specific requirements while maintaining centralized control. It can adjust its behavior based on the target data environment, applying appropriate authentication and authorization mechanisms for each platform type. This allows the system to enforce unified security policies while respecting the unique access control capabilities of individual database systems.
Data Source
AI summary
The technology disclosed herein enables representation of data access authorizations using a privilege graph. In a particular embodiment, a method includes identifying first attributes of a first user. The method further includes traversing nodes of a privilege graph using the first attributes to determine subsequent nodes until one or more nodes representing a first subset of environments of a plurality of data environments is reached. The method also includes authorizing the first user to access the first subset.