Privacy Request API for Downstream Service Propagation
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Solution Overview
Problem
Current systems do not effectively propagate user privacy requests, such as data deletion or transfer, from client device providers to downstream service providers, despite regulations like GDPR and CCPA allowing users to control their personal data.
Innovation Solution
An API is implemented to facilitate privacy requests across client devices and downstream service providers, enabling users to delete or transfer their data by authenticating and processing requests through a standardized protocol, ensuring compliance with data protection regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user privacy requests are handled only at the client device provider level, then the system complexity is low, but data privacy compliance is insufficient because downstream service providers cannot be reached
Solution Approach 1:
The patent introduces an intermediary mechanism (API gateway or message broker) that sits between the client device provider and downstream service providers. This intermediary receives privacy requests from the client device provider, standardizes them, and distributes them to appropriate downstream service providers. This resolves the contradiction by enabling comprehensive privacy compliance without requiring direct complex integration with each downstream provider, thus maintaining system simplicity while achieving reliability.
Solution Approach 2:
The patent implements a universal API interface that can handle multiple types of privacy requests (deletion, export, modification) across different downstream service providers through a single standardized protocol. This multi-functional interface allows the system to comply with data privacy regulations across the entire ecosystem without creating separate integration paths for each provider, thereby achieving comprehensive compliance without proportionally increasing system complexity.
2Reliability
If a standardized API protocol is implemented across all service providers, then data privacy request propagation is effective, but implementation complexity and cost increase
Solution Approach 1:
The patent segments the privacy request handling process into distinct modular components: request reception module, validation module, routing module, and fulfillment module. Each downstream service provider implements only the necessary segments relevant to their function. This segmentation allows effective privacy request propagation through a standardized interface while reducing implementation complexity, as providers can adopt incrementally and only implement the segments they need.
Solution Approach 2:
The patent creates a standardized template or copy of the privacy request protocol that can be replicated across different service providers. Instead of customizing integration for each provider, the same standardized API specification is copied and adapted minimally to fit different contexts. This approach ensures consistent privacy request propagation across the ecosystem while significantly reducing implementation effort and cost through reuse of the same proven template.
3Adaptability or versatility
If user data is stored by multiple downstream service providers, then service functionality is enhanced, but user control over personal data is reduced
Solution Approach 1:
The patent implements a feedback mechanism where the system provides users with visibility into which downstream service providers have their data and what actions have been taken on their behalf. When a user submits a privacy request, they receive confirmation and status updates as the request propagates through the ecosystem. This feedback loop restores user control by making the data flow transparent, allowing users to verify that their preferences are being respected across multiple service providers while maintaining the versatility benefits of distributed data storage.
Data Source
AI summary
A system and method are disclosed for fulfilling GDPR and other privacy requests in a client device system as well as a downstream service provider with which the client device system partners. In examples, the downstream service provider may be a voice assistant service provider providing voice recognition and language understanding capabilities to an upstream client device system.