Privacy Management System Digital Ledger Tracking
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Solution Overview
Problem
Organizations face challenges in tracking and managing privacy exposure and compliance with growing privacy regulations such as CCPA and GDPR, requiring efficient tools to protect personal data and respond to client requests for data access, deletion, and sharing limitations.
Innovation Solution
A privacy management system that creates digital ledgers to track personal data usage, determines privacy exposure, and generates reports based on data access patterns, access frequency, and data types, allowing for secure data retrieval and anonymization to protect client identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations manually track and manage privacy exposure, then compliance with privacy regulations can be achieved, but the complexity and time required for tracking data access patterns increases significantly
Solution Approach 1:
The system enables automated self-service tracking of privacy exposure by implementing digital ledgers that automatically record data access patterns, applications accessing user data, and data sharing events. This eliminates manual tracking requirements while ensuring compliance with privacy regulations through continuous automated monitoring and reporting capabilities.
2Measurement precision
If comprehensive data access tracking is implemented, then privacy exposure can be accurately determined, but the time and resources required for data collection and analysis increase
Solution Approach 1:
The system performs preliminary actions by continuously maintaining digital ledgers that pre-record data access patterns, applications, and data sharing events as they occur. This allows privacy exposure determination to be based on pre-collected comprehensive data rather than requiring time-consuming data collection and analysis at the moment of assessment.
3Loss of information
If multiple data sources are accessed to assess privacy exposure, then the completeness of privacy assessment improves, but the number of storage components and data requests required increases
Solution Approach 1:
The system merges multiple data sources by implementing a centralized digital ledger that consolidates data access information from multiple applications and storage components. This unified approach maintains complete privacy assessment data while reducing the complexity of accessing multiple separate storage components through a single integrated tracking mechanism.
Data Source
AI summary
The present disclosure is related to a system that may include a storage component and a computing device. The storage component may store applications and datasets associated with a user. The computing device may execute each of the applications. One of the applications may perform operations, including receiving a list of the applications, determining a privacy exposure of the user based on at least a portion of the datasets accessed by the applications, and generating a privacy report based on the privacy exposure.


