Automated Personal Data Classification for Privacy Compliance
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Solution Overview
Problem
Existing systems are inadequate for efficiently managing and complying with data subject access requests, particularly for large corporations that store data across multiple platforms, leading to challenges in providing required information within tight timelines.
Innovation Solution
A computer-implemented data processing method that identifies and removes personal data not associated with privacy campaigns by accessing data assets, generating a catalog of privacy campaigns, scanning for unassociated data, and presenting indications for removal, allowing for automated deletion and data subject access request fulfillment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to manage and locate personal data across multiple platforms, then data accuracy can be maintained through human review, but the time required to comply with data subject access requests becomes excessively long
Solution Approach 1:
The patent replaces manual mechanical processes with automated electronic scanning and natural language processing systems. The system automatically scans data assets, generates catalogs, and identifies personal data without human intervention, thereby maintaining accuracy while dramatically reducing the time required for compliance with data subject access requests.
Solution Approach 2:
The system enables self-service automation where the data processing system independently performs scanning, catalog generation, and data identification tasks without requiring human operators. The automated processes serve themselves by systematically searching through data assets and producing compliance-ready outputs within regulatory timelines.
2Productivity
If automated scanning and catalog generation are implemented to quickly locate personal data, then compliance speed increases, but the complexity of the data processing system increases
Solution Approach 1:
The patent segments the data processing system into distinct functional modules: a scanning module that locates data assets, a catalog generation module that organizes findings, and a data identification module that extracts personal information. This segmentation allows each component to perform its specific function efficiently, increasing overall productivity while managing complexity through modular design.
Solution Approach 2:
The system employs universal data structures and processing routines that can handle multiple types of data assets and personal information formats through a single integrated platform. This multi-functionality approach increases compliance speed by eliminating the need for separate systems while managing complexity through standardized interfaces and common processing logic.
3Reliability
If comprehensive scanning of all data assets is performed to ensure complete identification of personal data, then data subject access request fulfillment improves, but the computational resources and processing time required increase
Solution Approach 1:
The patent performs preliminary actions by generating a catalog of data assets and their locations before conducting the actual personal data identification scan. This preliminary cataloging organizes the data landscape in advance, allowing the system to efficiently locate and process only relevant data during the compliance scan, thereby improving fulfillment completeness while reducing computational resource consumption during the actual request processing.
Data Source
AI summary
An automated classification system may be configured to substantially automatically classify one or more pieces of personal information in one or more documents (e.g., one or more text-based documents, one or more spreadsheets, one or more PDFs, one or more webpages, etc.). The system may be implemented in the context of any suitable privacy compliance system, which may, for example, be configured to calculate and assign a sensitivity score to a particular document based at least in part on one or more determined categories of personal information identified in the one or more documents. The storage of particular types of personal information may be governed by one or more government or industry regulations, which may require particular security measures, storage techniques, handling, etc. for documents based on one or more categories of information contained therein.