Edge Computing Consent Validation for Privacy Compliance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing emphasis on data privacy regulations, such as GDPR, CCPA, and CPRA, has led to challenges for SaaS companies in collecting and sharing user data due to restrictions on third-party cookies and IDs, resulting in significant data loss and latency issues in existing systems.
Innovation Solution
Implementing an edge computing device within a content delivery network (CDN) to manage and control user data, perform consent validation, and ensure compliance with privacy regulations by acting as an intermediary between client devices and third-party services, reducing latency and preventing data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If third-party cookies and IDs are used to track user data, then data collection and sharing is enabled, but privacy regulations (GDPR, CCPA, CPRA) are violated and data loss occurs
Solution Approach 1:
The patent introduces an edge computing device as an intermediary between client devices and third-party services. This intermediary collects user data locally at the edge, performs consent validation against privacy regulations, and selectively shares data only when compliant. This resolves the contradiction by enabling data sharing while maintaining privacy compliance through the intermediary's validation function.
Solution Approach 2:
The system performs preliminary consent validation at the edge computing device before any data is shared with third-party services. By validating user consent and regulatory compliance in advance, the system prevents data loss while ensuring ongoing privacy compliance, resolving the contradiction between data retention and regulatory adherence.
2Reliability
If edge computing devices are introduced to manage user data and perform consent validation, then privacy compliance is improved, but system complexity increases
Solution Approach 1:
The edge computing device performs multiple functions: collecting user data, storing biographical information, validating consent against privacy regulations, and selectively sharing data with third-party services. By consolidating these functions into a single multi-functional component at the network edge, the patent manages system complexity while achieving comprehensive privacy compliance.
3Loss of time
If user data is collected and validated at edge computing devices proximate to client devices, then network latency is reduced, but data management complexity increases
Solution Approach 1:
The patent segments data management operations by deploying edge computing devices at distributed locations proximate to client devices. This segmentation brings data collection and validation closer to the data source, reducing network latency for consent validation while distributing the management complexity across multiple edge nodes rather than centralizing it.
Data Source
AI summary
To provide user data to third-party services in a privacy compliant manner, an edge computing device within a content delivery network receives user data generated based on user interactions with web or application content from a client device proximate to the edge computing device, stores user biographical information, and performs a consent validation of the user data with respect to at least one third-party service. In response to determining that the user data passes the consent validation with respect to the third-party service, the edge computing device provides the user data to the third-party service.