Cloud Regulatory Compliance Orchestration Strategy
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Solution Overview
Problem
Current regulatory compliance processes in industries handling sensitive data are labor-intensive and often rely on manual efforts, failing to efficiently address the complexities of international data regulations such as GDPR and HIPAA, especially in cloud environments where automated compliance can violate regulations due to lack of awareness of data residency constraints.
Innovation Solution
A method and system that access and process regulatory requirements privately, creating an orchestration strategy to ensure compliance by associating data items with appropriate processes, providing certificates of compliance without revealing the strategy, and optimizing data storage and access to meet residency and usage regulations, using techniques like Private Set Intersection and zero-knowledge proofs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual compliance processes are used, then regulatory adherence can be achieved, but labor intensity and costs increase significantly
Solution Approach 1:
The system enables automated self-compliance by having the cloud service provider automatically determine data residency requirements, select appropriate storage locations, and generate compliance certificates without requiring manual intervention from the data owner. The automated compliance service processes regulatory requirements and generates compliance decisions autonomously.
Solution Approach 2:
The patent replaces manual compliance processes with an automated computer-based system that uses algorithms to determine data residency requirements, select storage locations, and generate compliance certificates. This substitution of mechanical (manual) processes with automated computational processes significantly improves compliance efficiency while maintaining regulatory adherence.
2Productivity
If automated compliance is implemented, then compliance efficiency improves, but risk of violating regulations due to lack of awareness increases
Solution Approach 1:
The system incorporates feedback mechanisms where compliance decisions are verified against regulatory requirements, and the system learns from compliance checks to improve future automated decisions. This feedback loop ensures that automated processes maintain high accuracy in interpreting and applying regulatory rules.
Solution Approach 2:
The automated compliance service performs preliminary determination of data residency requirements and selection of appropriate storage locations before data is actually stored. This advance planning and verification ensures that compliance requirements are met from the outset, preventing violations before they occur.
3Reliability
If data is stored in multiple locations to meet residency requirements, then regulatory compliance improves, but system complexity increases
Solution Approach 1:
The system segments data storage by dividing data into different categories based on residency requirements and assigning each segment to appropriate storage locations. This segmentation approach allows compliance with multiple regulatory requirements while maintaining organized, manageable data storage structures through automated classification and placement.
Data Source
AI summary
A computer system accesses and processes regulatory requirements for data item(s) in a private manner. Both the data item(s) and the regulatory requirements are accessed and processed privately. The computer system creates an orchestration strategy satisfying the regulatory requirements. The orchestration strategy includes recommendation(s) associating the data item(s) with process(es). The computer system outputs indications of the orchestration strategy to be used to implement regulatory compliance for processing of the data item(s) by associated ones of the process(es). The computer system may be implemented as a portion of a cloud environment, and compliance may be offered as a service for cases where data usage by an application (implementing the process(es)) does not address compliance with the regulatory requirements, but following the orchestration strategy ensures use of the application on the data item(s) will comply with the regulatory requirements.