Orphaned Data Identification System for Privacy Compliance
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Solution Overview
Problem
Existing systems are inadequate for timely compliance with data subject access requests, particularly for large corporations that store data across multiple platforms, leading to challenges in identifying and removing personal data not associated with active privacy campaigns.
Innovation Solution
A computer-implemented method that accesses and scans data assets to generate a catalog of privacy campaigns and personal information, identifies data not associated with these campaigns, and automatically removes or flags it for deletion, ensuring compliance with data protection regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual identification and removal of orphaned personal data is performed, then data accuracy and compliance precision are improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system performs self-service by automatically scanning data assets, comparing them against the privacy campaign catalog, identifying orphaned personal data, and removing them without human intervention. The processor executes the complete workflow autonomously, from data discovery to compliance enforcement, eliminating manual labor while maintaining high precision through systematic algorithmic comparison
Solution Approach 2:
The patent replaces manual mechanical operations with automated computational processes. Instead of human operators manually searching through data assets to identify orphaned personal data, the system uses processors to scan, compare, and identify data automatically. This substitution of mechanical human labor with computational mechanisms dramatically reduces time consumption while preserving compliance precision
2Measurement precision
If comprehensive scanning of all data assets is performed to identify orphaned personal data, then identification completeness is improved, but system complexity and computational resources increase
Solution Approach 1:
The system segments the comprehensive data asset scanning task into manageable components: first generating a catalog of privacy campaigns, then scanning data assets to identify personal data, and finally comparing the two sets to identify orphaned data. This segmentation allows the system to achieve complete identification without overwhelming complexity, as each segment handles a specific aspect of the overall task
Solution Approach 2:
The system performs preliminary action by first generating a comprehensive catalog of privacy campaigns and their associated personal data before conducting the identification process. This pre-prepared catalog serves as a reference framework that simplifies the subsequent scanning and comparison operations, enabling complete identification without requiring complex real-time analysis
3Productivity
If automated removal of orphaned personal data is implemented, then productivity and compliance speed are improved, but risk of erroneous deletion increases
Solution Approach 1:
The system implements feedback by continuously comparing identified orphaned personal data against the privacy campaign catalog and compliance criteria before execution of deletion. The processor verifies each identified data item against multiple conditions, ensuring it truly is orphaned (not associated with any active privacy campaign) before removal. This feedback mechanism maintains high reliability by preventing erroneous deletion while preserving automated productivity
Solution Approach 2:
The system performs preliminary verification and validation actions before actual data deletion occurs. The identification process includes multiple comparison steps against the privacy campaign catalog, ensuring that only confirmed orphaned data is marked for removal. This preliminary action layer protects against erroneous deletion while maintaining the speed benefits of automation
4Quantity of substance
If multiple data assets across different platforms are scanned, then data coverage and compliance thoroughness are improved, but operational complexity and resource requirements increase
Solution Approach 1:
The system achieves universality by designing a single automated processing framework that can scan and analyze multiple types of data assets across different platforms simultaneously. The processor executes the same identification logic regardless of the data asset type or platform, making the system adaptable to diverse data environments without requiring separate manual processes for each platform, thereby reducing operational complexity while maintaining comprehensive coverage
Data Source
AI summary
In particular embodiments, an Orphaned Data Action System is configured to analyze one or more data systems (e.g., data assets), identify one or more pieces of personal data that are one or more pieces of personal data that are not associated with one or more privacy campaigns of the particular organization, and notify one or more individuals of the particular organization of the one or more pieces of personal data that are one or more pieces of personal data that are not associated with one or more privacy campaigns of the particular organization.