User Data Management System Access Control
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Solution Overview
Problem
Managing and tracking sensitive user information across multiple systems is challenging, leading to compliance issues and data security risks due to the difficulty in controlling access and ensuring data is not shared undesirably.
Innovation Solution
Implementing a user data management system that processes use-specific requests for user data by defining column and accessor definitions, which include access policies and data transformation options, to control access and securely manage user data across distributed storage locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user data is stored in multiple distributed systems, then data accessibility and functionality are improved, but data security and compliance control deteriorate
Solution Approach 1:
The patent introduces a data management service as an intermediary layer between applications and distributed data stores. This service enforces access policies, manages data transformations, and maintains audit logs centrally, thereby securing data access across distributed systems without compromising functionality. The intermediary controls and monitors all data operations, preventing unauthorized access while enabling legitimate use.
2Reliability
If access control policies are implemented for each data request, then data security is improved, but system complexity and processing overhead increase
Solution Approach 1:
The data management service provides universal access control functionality that handles multiple data operations (read, write, delete, transform) through a unified policy enforcement mechanism. Rather than implementing separate control systems for each operation, the service applies a comprehensive access policy framework that manages all data requests consistently, reducing overall system complexity while maintaining security.
3Reliability
If data is transformed before access, then data protection is improved, but data usability and functionality may deteriorate
Solution Approach 1:
The patent implements dynamic data transformation where the level and type of transformation applied to data depend on the specific access request and policy requirements. Data can be transformed in real-time based on the user's role, the purpose of access, and sensitivity requirements. This dynamic approach ensures data protection is applied appropriately without unnecessarily degrading usability for legitimate use cases.
4Reliability
If centralized audit logging is implemented, then compliance monitoring is improved, but system performance and processing speed deteriorate
Solution Approach 1:
The data management service maintains audit logs as separate copy records that parallel the actual data operations. Rather than having audit logging interfere with primary data processing, the system creates copies of operation metadata (who accessed what, when, and why) for compliance tracking. This copying approach enables comprehensive compliance monitoring without significantly impacting the performance of core data operations.
Data Source
AI summary
Processing per-use requests for user data is disclosed, including: receiving a use-specific request to read a set of user data; determining whether to grant the use-specific request based at least in part on an access policy associated with an accessor definition associated with the use-specific request; and in response to a determination to grant the use-specific request, transforming the set of user data based at least in part on the accessor definition.