Policy-Based User Data Request Orchestration
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Solution Overview
Problem
Conventional systems for managing user data requests, such as 'right to be forgotten' and data access, rely heavily on human intervention and do not scale well for large businesses with distributed data across multiple services and locations, leading to inefficiencies and lack of extensibility.
Innovation Solution
A distributed computing system that automates user data management through policy-based control, allowing users to request data deletion, obfuscation, or access without manual intervention, using APIs and policy files to determine actions across multiple subsystems, and supports scalability and extensibility by integrating with various communication protocols and subsystems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual human execution is used to process user data requests, then data management accuracy can be maintained, but scalability and productivity deteriorate for large businesses with distributed data
Solution Approach 1:
The system enables self-service automation where the data management system automatically processes user data requests without human intervention. The automated system identifies, retrieves, and executes data deletion or access operations across distributed services and databases, eliminating the need for manual employee execution while maintaining processing accuracy and enabling scalability to handle large volumes of requests across multiple jurisdictions.
2Productivity
If automated systems are implemented to improve scalability, then productivity increases, but system complexity and difficulty of implementation increase
Solution Approach 1:
The system is segmented into distinct modular components including a user interface layer, an automated processing engine, a policy management module, and integration adapters for various data storage systems. Each component performs a specific function and can be independently configured, which reduces overall system complexity while enabling scalable deployment across distributed services and multiple jurisdictions.
Solution Approach 2:
The automated data management system is designed as a universal platform that can handle multiple types of user data requests (deletion, access, modification) across diverse data storage systems and communication protocols. This multi-functional design consolidates what would otherwise require multiple separate systems, reducing complexity while maintaining scalability across different business units and jurisdictions.
3Adaptability or versatility
If distributed data management across multiple services and locations is maintained, then data accessibility and functionality are preserved, but coordination and verification of data actions become more difficult
Solution Approach 1:
The system implements comprehensive feedback mechanisms where each automated data action executed across distributed services generates verification responses that are collected and aggregated by the central processing engine. This feedback loop ensures that data deletion or access operations are properly coordinated and verified across multiple services and locations, maintaining data accessibility while reducing coordination complexity through automated status tracking and confirmation.
Data Source
AI summary
In some examples, a computing device may receive a user request and may determine a user jurisdiction associated with the received user request. Based at least on a request type and the user jurisdiction, the computing device may select a first policy file from among a plurality of policy files, the plurality of policy files preconfigured for respective different combinations of at least the request type and the user jurisdiction to contain at least one data action for instructing at least one respective target subsystem to perform the at least one data action in response to a respective user request. In addition, the computing device may send, based on a data action included in the first policy file, at least one instruction to at least one target subsystem.