Automated Data Annotations and Protection Bindings for Compliance
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Solution Overview
Problem
Current data compliance practices in application development are inadequate, with developers lacking programmatic guidance on handling data regulations, leading to compliance being addressed as an afterthought and resulting in potential violations and substantial fines.
Innovation Solution
A mechanism is introduced to tag different types of data during application development using automated annotations, allowing a compliance engine to ensure adherence to data sovereignty and other regulations through protection bindings applied at deployment and runtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If developers handle data compliance as an afterthought during application development, then application development speed is maintained, but data compliance violations occur resulting in fines and penalties
Solution Approach 1:
The patent implements data compliance checks, annotations, and protection bindings during the application development phase rather than as an afterthought. The compliance engine analyzes program code to identify sensitive data types and applies appropriate protection bindings before deployment, ensuring compliance is built into the application from the start while maintaining development efficiency through automation.
2Reliability
If developers are required to have detailed knowledge of data compliance regulations, then data compliance adherence improves, but developer complexity and training requirements increase
Solution Approach 1:
The patent introduces a compliance engine as an intermediary between developers and data compliance regulations. The compliance engine automatically analyzes program code, identifies sensitive data types using annotations, determines applicable regulations, and applies protection bindings without requiring developers to have expert knowledge of complex data compliance laws. Developers simply need to use standard annotation syntax.
3Reliability
If post hoc supervision of data handling is implemented at deployment time, then data compliance monitoring is achieved, but response time to compliance issues is delayed
Solution Approach 1:
The patent performs data compliance analysis, identification of sensitive data types, and application of protection bindings during the development and deployment phases rather than relying solely on post-deployment supervision. The compliance engine proactively ensures compliance requirements are met before the application goes live, reducing the need for reactive monitoring and enabling faster response to potential compliance issues.
Data Source
AI summary
In one embodiment, a device obtains program code of an application that defines annotations denoting a plurality of data types handled by the application. The device determines, for each of the plurality of data types, an association between that data type and a category of sensitive data. The device creates, based on the association for each of the plurality of data types, a protection binding that defines a data handling scope bonded to the association between that data type and its associated category of sensitive data. The device causes data compliance policies to be applied to the application according to its corresponding associations and protection bindings.