Compliance Adaptation System for Data Privacy Code Correlation
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Solution Overview
Problem
System administrators face challenges in adapting computer systems to comply with data privacy requirements, as these requirements often lack technical specificity and must be applied across multiple jurisdictions.
Innovation Solution
A computer-implemented method that correlates written data privacy requirements with specific code segments in a target computer system, using natural language processing to identify affected components and dependent code, and presenting updated code segments to ensure compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If system administrators manually analyze non-technical directives to adapt computer systems, then compliance with data privacy requirements can be achieved, but the complexity and time required for system adaptation increases significantly
Solution Approach 1:
The patent introduces an intermediary system that acts as a bridge between non-technical compliance directives and the computer system. This intermediary automatically translates legal/privacy requirements into technical specifications and identifies affected code segments, eliminating the need for administrators to manually interpret non-technical directives while maintaining high compliance accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of analyzing directives and identifying code segments with an automated computational system. The system uses natural language processing and code analysis algorithms to automatically correlate compliance requirements with affected source code, significantly reducing adaptation complexity while improving reliability.
2Adaptability or versatility
If system administrators tailor solutions to multiple jurisdictional scenarios, then compliance across different jurisdictions is achieved, but the time and resources required for system adaptation increase
Solution Approach 1:
The patent creates a universal system that can handle multiple jurisdictional scenarios simultaneously. The compliance adaptation system is designed to process different legal and privacy requirements from various jurisdictions through a unified approach, allowing the system to adapt to multiple jurisdictions without requiring separate manual analysis for each scenario, thereby reducing adaptation time while maintaining broad jurisdictional coverage.
3Measurement precision
If natural language processing is used to correlate written requirements with code segments, then the precision of identifying non-compliant code is improved, but the complexity of the compliance system increases
Solution Approach 1:
The patent introduces NLP technology as an intermediary layer between written compliance requirements and code segments. This intermediary automatically translates and correlates natural language requirements with technical code, achieving high precision in identifying non-compliant code without requiring administrators to manually analyze and correlate requirements with code, thus managing system complexity through automation.
4Reliability
If manual code updating is performed to ensure compliance, then compliance accuracy is maintained, but productivity and efficiency of the compliance process decrease
Solution Approach 1:
The patent enables the system to update its own code automatically based on compliance requirements. The compliance adaptation system identifies non-compliant code segments and performs updates without requiring manual administrator intervention for each code change. This self-service approach maintains compliance accuracy through automated verification while significantly improving productivity and efficiency of the compliance process.
Data Source
AI summary
Aspects of the invention include correlating a context of a written data privacy requirement with a first code segment of a source code of a target computer system. A selection of a first candidate code segment is received to replace the first code segment. The selected first candidate code segment is determined to have replaced the first code segment and is integrated into the source code. A stimulation signal is transmitted to the target computer system, wherein the stimulation signal is directed toward the first candidate code segment integrated into the source code.