Secure CI/CD Pipeline With QMS-Based Code Classification
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Solution Overview
Problem
Healthcare providers face challenges in ensuring data integrity and privacy compliance in cloud-based continuous integration and deployment (CI/CD) systems due to unique regulatory requirements, such as HIPAA and GDPR, which existing technologies struggle to address effectively.
Innovation Solution
A CI/CD system that receives validated source code, generates a profile, classifies it based on characteristics, retrieves a relevant quality management system (QMS), and performs comprehensive code analysis to ensure compliance with healthcare-specific requirements before deployment, using static and dynamic analysis tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud-based CI/CD systems are used to streamline software development, then productivity and release speed are improved, but data privacy and regulatory compliance (HIPAA, GDPR) become more difficult to ensure
Solution Approach 1:
The patent introduces a cloud-based CI/CD system as an intermediary layer between developers and cloud infrastructure. This system acts as a mediator that handles code validation, security scanning, and compliance checking before deployment, thereby enabling fast releases while maintaining HIPAA and GDPR compliance through centralized control and monitoring
Solution Approach 2:
The system performs preliminary actions by validating source code against predefined quality management system requirements before deployment to the cloud. Security scans and compliance checks are conducted in advance, ensuring that only compliant code is deployed, thus maintaining data privacy while enabling rapid releases
2Reliability
If comprehensive code validation and security scanning are performed, then data integrity and security are improved, but the time required for deployment increases
Solution Approach 1:
The CI/CD system performs security scans and compliance validation as preliminary actions during the development phase. By conducting these checks before deployment, the system ensures code security is maintained while avoiding delays during the actual deployment process, as validation is already complete
Solution Approach 2:
The system implements continuous integration and continuous deployment pipelines that automatically perform validation and security scanning continuously. This continuous process eliminates gaps in security monitoring while streamlining the deployment workflow, ensuring that security checks are an integrated part of the development cycle rather than separate time-consuming steps
3Ease of operation
If existing cloud CI/CD technologies are used, then ease of deployment is improved, but ability to meet healthcare-specific regulatory requirements deteriorates
Solution Approach 1:
The patent applies local quality by customizing the CI/CD system to meet specific healthcare regulatory requirements (HIPAA, GDPR, GxP) while maintaining the general ease of cloud deployment. The system incorporates healthcare-specific compliance checks, data encryption requirements, and audit trail mechanisms that are locally adapted to the healthcare industry's unique needs
Solution Approach 2:
The CI/CD system is designed with multi-functionality to handle both general cloud deployment tasks and healthcare-specific regulatory compliance. It provides universal deployment capabilities while simultaneously enforcing healthcare regulations through integrated security scans, data protection measures, and compliance validation, making it suitable for both general and healthcare-specific requirements
Data Source
AI summary
The present disclosure relates to techniques for continuous integration and continuous deployment of source code on a digital health platform. Particularly, aspects are directed to receiving source code from a software development system (the source code being validated in accordance with a first QMS), generating a profile for the source code, classifying the source code into a class of code based on the profile, retrieving a second QMS associated with the class of code, validating the source code in accordance with the second QMS, upon validation of the source code, executing a build process to generate a executable program from the source code, encapsulating the executable program in a container, and deploying the container on one or more nodes of a software platform. The first QMS is adapted from the perspective of the software development system; whereas the second QMS is adapted from the perspective of the software platform.