Data Migration System Using Privacy Data Maps for Regulatory Compliance
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Solution Overview
Problem
Current systems lack efficient methods for managing and migrating personal data across different geographic locations while ensuring compliance with regulatory restrictions, particularly in cases of data center failures, and individuals face challenges in controlling which entities process their data.
Innovation Solution
A data subject access request processing system that includes data subject access request management servers, local storage nodes, and processors to identify, route, and process requests for personal data, while utilizing a privacy-related data map to determine regulatory compliance and facilitate data transfers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is migrated across geographic locations to ensure business continuity, then data availability is improved, but compliance with regulatory restrictions becomes more difficult
Solution Approach 1:
The system performs preliminary actions by evaluating regulatory restrictions and selecting appropriate target data assets before data migration occurs. The data model is pre-configured with regulatory compliance rules, allowing the system to automatically determine compliant migration paths without manual intervention during the migration process.
Solution Approach 2:
The patent introduces an intermediary data model that acts as a mediator between data migration operations and regulatory compliance requirements. This data model contains structured information about regulatory restrictions and uses this information to guide migration decisions, effectively mediating between the need for data availability and compliance requirements.
2Productivity
If manual processes are used to manage data subject access requests, then system complexity is reduced, but processing time and efficiency increase
Solution Approach 1:
The system enables self-service by automatically processing data subject access requests without requiring manual human intervention. The data model contains all necessary regulatory and operational information, allowing the system to autonomously evaluate requests, determine compliance, and execute appropriate actions, thereby improving productivity while managing complexity through automation.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors data subject access requests and uses the data model to automatically adjust processing decisions. The system evaluates each request against stored regulatory rules and previous processing outcomes, creating a feedback loop that improves efficiency while maintaining compliance without requiring proportional increases in system complexity.
3Speed
If data migration is performed without automated compliance checking, then processing speed is improved, but regulatory compliance accuracy deteriorates
Solution Approach 1:
The system performs preliminary compliance checking by pre-configuring the data model with all relevant regulatory restrictions and compliance rules. Before data migration begins, the system automatically evaluates the data model against these pre-loaded rules, ensuring compliance accuracy is maintained without slowing down the actual migration process, as the compliance framework is already in place.
Solution Approach 2:
The patent introduces an intermediary compliance checking layer that operates between the data migration process and regulatory requirements. This intermediary uses the structured data model to automatically verify compliance during migration, maintaining both speed and accuracy by handling compliance verification as a separate, automated function rather than a manual bottleneck.
Data Source
AI summary
Data stored on a data asset may be migrated to another data asset while maintaining compliance to applicable regulations. A data asset may experience a failure. Based on the type of data stored by that data asset and the applicable regulations, requirements, and/or restrictions that relate to a transfer of that type data from that data asset, a target data asset may be determined. The data stored on the data asset may then be transferred to the target data asset. The disclosed systems may use data models and/or data maps in determining the requirements for a data transfer and selecting target data assets.