Data Inventory System for Privacy Compliance Automation

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Solution Overview

Problem

Current systems lack efficient methods to manage and comply with privacy and security policies regarding personal data, particularly in identifying and responding to data subject access requests across complex data systems.

Innovation Solution

A computer-implemented data processing method and system that generates and populates a data model to map relationships between data assets, identifies personal data associated with data subjects, and facilitates actions such as deletion or reporting, using processors, memory, and executable instructions to scan inventories, link assets, and generate reports.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual methods are used to identify and manage personal data across data systems, then implementation simplicity is maintained, but productivity and compliance efficiency deteriorate

Engineering Contradiction:
Improvecompliance efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system enables automated self-service functionality where the data management system automatically scans data inventories, identifies personal data, maps data assets, and generates compliance reports without requiring manual intervention for each task, thereby improving productivity while managing complexity through automation

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces a centralized data inventory and data asset mapping system as an intermediary layer between raw data storage and compliance operations. This intermediary structure organizes and indexes personal data across multiple data assets, enabling efficient retrieval and management without directly complicating the underlying data storage systems

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive data scanning and mapping is implemented across all data assets, then measurement precision of personal data identification is improved, but loss of time and computational resources increases

Engineering Contradiction:
Improvepersonal data identification accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-scanning and pre-mapping data assets to create a structured data inventory before compliance operations are needed. This preliminary organization of data locations, types, and relationships enables rapid identification during actual compliance tasks, improving identification accuracy while reducing processing time when compliance operations are executed

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments the comprehensive data scanning task into manageable components by organizing data assets into structured inventories with specific attributes and relationships. This segmentation allows the system to process and identify personal data in organized units rather than attempting to scan all data simultaneously, reducing overall processing time while maintaining identification precision

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11921894B2Data processing systems for generating and populating a data inventory for processing data access requests
Publication Date: 2024.03.05 ONETRUST LLC
  • US11921894B2 patent drawing
  • US11921894B2 patent drawing
  • US11921894B2 patent drawing

AI summary

In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include any entity that collects, processes, contains, and/or transfers personal data (e.g., a software application, database, website, server, etc.). A data asset may include any software or device (e.g., server or servers) utilized by a particular entity for such data collection, processing, transfer, storage, etc. The system may then utilize the generated model to fulfil a data subject access request.