Privacy Management Platform Data Subject Profile Correlation
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Solution Overview
Problem
Current data protection systems fail to effectively identify and manage personal information across an organization's data centers, lacking the ability to determine the identity of data subjects and find contextual personal information, leading to inadequate protection and compliance with privacy regulations.
Innovation Solution
A privacy management platform that scans various systems to identify personal information, correlates it with specific data subjects, and provides an inventory for risk assessment and compliance, using rules-based classification and machine learning to update and refine search criteria, enabling organizations to manage customer privacy and data risk effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If legacy data protection solutions employ classification algorithms based on regular expressions, then data search capability is provided, but the ability to identify data subjects and find contextual personal information deteriorates
Solution Approach 1:
The patent introduces data subject profiles as an intermediary layer between personal information and its context. These profiles aggregate multiple pieces of personal information from different data sources and establish relationships between them, enabling accurate data subject identification while maintaining comprehensive search capability across the organization's data infrastructure
Solution Approach 2:
The system segments personal information into discrete attributes (name, address, email, etc.) and organizes them within structured data subject profiles. This segmentation allows the system to search for specific information types while maintaining the ability to reconstruct complete data subject identities and contexts
2Loss of information
If the system scans and classifies personal information across multiple data sources, then data protection visibility is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal data subject profile structure that can accommodate multiple types of personal information from diverse data sources (databases, file systems, cloud storage, applications). This unified approach allows the system to handle various data formats and sources through a single framework, reducing complexity despite the multi-source scanning requirement
Solution Approach 2:
Data subject profiles serve as intermediary structures that abstract the complexity of multiple data sources. Instead of directly managing complex relationships between scattered personal information across numerous systems, the profiles provide a standardized layer that simplifies data aggregation, correlation, and management
3Reliability
If the system correlates personal information to specific data subjects, then privacy risk management is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by proactively scanning, collecting, and organizing personal information into data subject profiles before privacy incidents occur. This advance preparation enables rapid risk assessment and response when privacy issues arise, as the correlation work has already been completed during systematic data discovery phases
Solution Approach 2:
The patent implements periodic scanning and updating of data subject profiles, correlating personal information at scheduled intervals rather than continuously. This periodic action maintains accurate privacy risk management while avoiding the constant processing overhead of continuous correlation, balancing reliability with time efficiency
Data Source
AI summary
Exemplary privacy management platforms are described herein. Such platforms may be embodied in systems, computer-implemented methods, apparatuses and/or software applications. The described privacy management platform may be configured to scan identity, primary and/or secondary data sources in order to provide users with visibility into stored personal information, risk associated with storing such information and usage activity relating to such information. The platform may correlate personal information to specific data subjects to provide an indexed inventory across multiple data sources.