Filesystem Privacy Policy Enforcement via Consent Metadata
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Solution Overview
Problem
Current systems face challenges in efficiently and compliantly managing personal and sensitive data across filesystems, particularly in enforcing privacy legal frameworks like GDPR, HIPPA, and PIPEDA, as they require manual processes and specialized expertise for data handling, storage, access, and compliance, leading to inefficiencies and potential non-compliance.
Innovation Solution
A filesystem and operating system infrastructure that enforces consent-based access and data processing policies, utilizing metadata to apply data masking, pseudonymization, and anonymization, ensuring compliance with privacy laws by automating data handling and access controls, and providing a built-in legal framework for data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used for data handling and access control, then compliance with privacy laws can be achieved, but system complexity and operational burden increase significantly
Solution Approach 1:
The filesystem automatically enforces consent-based access control policies by analyzing user consent metadata and applying copying policies to file contents during data movement operations. The system self-regulates compliance without requiring external manual intervention, reducing operational burden while maintaining reliability
Solution Approach 2:
User consent metadata is collected and stored in advance before data movement operations occur. The filesystem uses this pre-collected metadata to automatically determine and enforce appropriate copying policies, eliminating the need for manual compliance assessment during data operations
2Reliability
If specialized expertise is required for data management and compliance, then accurate privacy law enforcement is possible, but ease of operation decreases
Solution Approach 1:
The operating system and filesystem automatically perform compliance enforcement by analyzing consent metadata and applying policies during data operations. This eliminates the need for specialized human expertise to manually manage compliance, making the system easy to operate while maintaining accurate privacy law enforcement
Solution Approach 2:
User consent metadata acts as an intermediary that bridges between user privacy preferences and system data access control. The filesystem automatically interprets and enforces policies based on this metadata, translating complex compliance requirements into automated access control decisions without requiring human expertise
3Productivity
If data is moved between filesystems without automated policy enforcement, then data movement efficiency is high, but compliance with privacy frameworks cannot be ensured
Solution Approach 1:
Consent policies are predetermined and stored in metadata before data movement operations. The filesystem automatically retrieves and applies these policies during data copying, ensuring compliance is enforced without interrupting or slowing down the data movement process
Solution Approach 2:
The filesystem autonomously enforces copying policies during data movement by analyzing consent metadata and automatically applying appropriate restrictions or permissions. This automated self-service approach maintains both high data movement efficiency and reliable compliance with privacy frameworks
Data Source
AI summary
An approach is disclosed for moving personal and sensitive data from a source filesystem to a destination filesystem while enforcing a source privacy legal framework. A request to copy information from a file residing in the source filesystem enabled to enforce the privacy and control legal framework to a destination filesystem is received. Access to the filesystem is enforced by an Operating System (OS) that provides a privacy legal framework where the OS enforces controlled access to the source filesystem based on user consent metadata. The user consent metadata associated with the file and the request is analyzed to determine a copying policy. The copying policy is applied to the contents of the file to ensure compliance with the privacy and control legal framework of the source filesystem.