Automated Data Subject Access Request Processing System
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Solution Overview
Problem
Current systems lack effective methods for managing personal data across multiple entities and ensuring compliance with regulatory restrictions during data migration, particularly in cases of data breaches or storage failures, while also providing individuals with control over their data processing and access.
Innovation Solution
A data subject access request processing system comprising data subject access request management servers, local storage nodes, and processors that facilitate data subject access requests by identifying and processing personal data, routing requests, and ensuring compliance with regulatory restrictions through data transfer assessments and risk calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is migrated between devices or data centers, then data availability and system reliability are improved, but compliance with jurisdictional rules and regulatory restrictions may be compromised
Solution Approach 1:
The system performs preliminary assessment of data transfer requests against jurisdictional rules and regulatory restrictions before executing the migration. This advance evaluation ensures compliance is verified prior to data movement, preventing regulatory violations while enabling reliable data migration when permissible.
Solution Approach 2:
The system introduces an intermediary assessment mechanism that mediates between data migration operations and regulatory requirements. This intermediary layer evaluates each transfer request, determines compliance status, and either permits or blocks the migration, thus reconciling the conflict between data availability and regulatory compliance.
2Productivity
If automated systems process personal data access requests, then processing efficiency and productivity are improved, but ability to handle complex regulatory assessments may deteriorate
Solution Approach 1:
The system segments the complex regulatory assessment process into distinct modular components: jurisdictional rule evaluation, regulatory restriction checking, risk assessment, and compliance determination. Each module handles a specific aspect of the assessment, making the overall complex process manageable and automatable while maintaining high processing efficiency.
Solution Approach 2:
The system transforms complex regulatory assessment into parameter-based evaluations by defining specific criteria and thresholds for compliance determination. This parameterization enables automated processing of regulatory assessments while maintaining accuracy, as the system evaluates requests against predefined parameters rather than requiring complex manual analysis.
3Adaptability or versatility
If comprehensive data tracking and assessment systems are implemented, then regulatory compliance is improved, but system complexity and processing time increase
Solution Approach 1:
The system performs preliminary assessments of data transfer requests against regulatory requirements before execution. By evaluating compliance upfront and caching assessment results, the system ensures thorough regulatory checking without adding significant processing time to actual data operations, as the assessment framework is prepared in advance.
Solution Approach 2:
The system replaces manual regulatory compliance checking with automated computational assessment mechanisms. This substitution eliminates time-consuming human review processes while maintaining comprehensive compliance evaluation, allowing the system to assess regulatory requirements rapidly through algorithmic evaluation rather than mechanical manual analysis.
Data Source
AI summary
A data processing system, according to various embodiments, may receive a data subject access request that includes a request to delete personal data of a particular data subject, modify personal data of the data subject, and/or provide personal data of the data subject. At least partially in response to receiving the data subject access request, the system may determine whether the data subject access request was initiated by an automated source. At least partially in response to determining that the data subject access request was initiated by an automated source, the system may automatically take at least one action to have the data subject access request reinitiated by a human source. At least partially in response to determining that the data subject access request was initiated by a human, the system may automatically facilitate the fulfillment of the data subject access request.