Data Inventory System for Personal Data Compliance
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Solution Overview
Problem
Current systems lack effective methods for managing and tracking personal data across various assets within organizations, leading to challenges in compliance with privacy and security policies, particularly in identifying and linking data assets involved in personal data processing and storage.
Innovation Solution
A data processing system that generates a data inventory by identifying primary and transfer data assets, associating them with inventory attributes, and electronically linking these assets to create a visual representation of data flows, enabling better management and compliance with privacy policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations implement manual data tracking methods, then implementation cost is low, but data management effectiveness and compliance capability deteriorate
Solution Approach 1:
The system enables automatic self-service data inventory generation by having data assets autonomously report their attributes and relationships through API calls. The data processing system automatically discovers data assets, extracts their characteristics, and populates the data inventory without manual intervention, achieving both high compliance capability and reduced operational complexity
Solution Approach 2:
The patent replaces manual mechanical tracking methods with an automated electronic system that uses processors, memory, and computer-executable instructions to automatically discover, track, and manage data assets. This substitution of mechanical manual processes with electronic automation resolves the contradiction by improving compliance capability while the systematic approach actually reduces overall complexity
2Reliability
If organizations implement comprehensive data tracking systems, then data management effectiveness improves, but implementation and operational cost increases
Solution Approach 1:
Data assets automatically provide their own inventory attributes through self-service API calls, eliminating the need for external systems to manually collect and verify each data characteristic. This self-population mechanism achieves comprehensive data management effectiveness while minimizing resource consumption by leveraging the existing capabilities of the data assets themselves
Solution Approach 2:
The system uses universal API call mechanisms that can extract multiple types of inventory attributes (data classifications, retention periods, security measures, etc.) through a single unified approach. This multi-functional capability achieves comprehensive tracking effectiveness while reducing resource consumption by avoiding multiple separate manual processes
3Measurement precision
If manual identification of data assets is used, then system complexity is low, but accuracy in identifying and linking data assets deteriorates
Solution Approach 1:
The patent replaces manual identification processes with automated electronic discovery mechanisms that use processors to systematically identify data assets, extract their attributes through API calls, and accurately link them in the data inventory. This electronic substitution achieves high identification accuracy while the structured automated process actually reduces complexity compared to manual methods
Solution Approach 2:
The system implements feedback loops where the data processing system makes API calls to data assets, receives responses about their attributes and relationships, and uses this feedback to accurately populate and update the data inventory. This feedback mechanism ensures high identification accuracy by continuously verifying data asset characteristics against the inventory records
4Reliability
If comprehensive data inventory is generated, then compliance with privacy policies improves, but time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by automatically discovering and inventorying data assets continuously or periodically before compliance audits are needed. This preliminary population of the data inventory ensures compliance capability is always maintained while reducing the time required for ad-hoc compliance assessments, as the inventory is already prepared and up-to-date
Solution Approach 2:
The patent implements continuous or periodic automatic population of the data inventory through scheduled API calls and discovery processes. This continuous useful action maintains an always-current compliance inventory, achieving high compliance capability while distributing the time investment over continuous operations rather than requiring large集中ed computational resources at single points in time
Data Source
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, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, “internet of things” computerized device, database, website, data-center, server, etc.). For example, a first 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.