DPI Service Custom Logic for Customer-Specific Privacy Workflows
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Solution Overview
Problem
Existing data privacy integration (DPI) systems struggle to efficiently tailor data privacy protocols to meet the unique compliance requirements of individual software customers, which can vary due to different regulations, strategic interpretations, and changing legal landscapes, leading to resource-intensive and error-prone manual adjustments.
Innovation Solution
Implement custom logic within the DPI service and applications to enable customers to automate data privacy processing based on their specific needs, using responder feedback flags and requesting ground values to customize responses to DPI requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustments are made to tailor data privacy protocols to individual customer requirements, then compliance accuracy is improved, but resource consumption and error probability increase
Solution Approach 1:
The system enables customers to self-configure data privacy protocols by providing customizable templates and parameters that automatically adapt to their specific compliance requirements. Customers can define their own blocking rules, retention periods, and processing conditions without requiring manual intervention from implementers, thereby improving compliance accuracy while reducing resource consumption.
Solution Approach 2:
The patent implements a parameter-driven approach where data privacy protocols are configured through adjustable parameters such as blocking conditions, retention periods, and processing rules. These parameters can be customized for each customer based on their specific regulatory requirements, allowing the system to adapt automatically without manual reconfiguration, thus improving reliability while reducing energy loss.
2Reliability
If manual adjustments are made to tailor data privacy protocols to individual customer requirements, then compliance accuracy is improved, but time consumption increases
Solution Approach 1:
The system provides pre-configured data privacy protocol templates that contain standard compliance rules and parameters. These templates are prepared in advance and can be quickly customized for each customer by adjusting specific parameters rather than creating protocols from scratch, significantly reducing configuration time while maintaining compliance accuracy.
Solution Approach 2:
By implementing a parameter-based configuration system, the patent allows customers to quickly adapt standard protocols to their specific needs by modifying parameters such as blocking conditions, retention periods, and processing rules. This approach eliminates the need for time-consuming manual adjustments while ensuring compliance accuracy is maintained through structured parameter control.
3Productivity
If standardized data privacy protocols are used across all customers, then implementation efficiency is improved, but adaptability to individual compliance requirements deteriorates
Solution Approach 1:
The patent implements a universal data privacy protocol framework that can serve multiple customers with different requirements. The system provides standardized base protocols that can be customized through parameters and templates, allowing the same core system to adapt to various compliance scenarios. This multi-functionality enables efficient implementation across customers while maintaining adaptability to individual needs.
Solution Approach 2:
The system uses parameter-driven customization that allows standardized protocols to be adapted to individual customer requirements by modifying parameters such as blocking conditions, retention periods, and processing rules. This approach maintains implementation efficiency through standardized processes while achieving adaptability through flexible parameter configuration.
4Adaptability or versatility
If custom logic is implemented for each customer's specific compliance needs, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent segments the data privacy protocol into modular components with standardized interfaces. Each protocol element (blocking rules, retention policies, processing conditions) is divided into independent, configurable units that can be assembled through parameters rather than requiring custom code development. This segmentation reduces system complexity while maintaining adaptability.
Solution Approach 2:
By implementing customization through parameters rather than custom logic code, the system achieves high adaptability without increasing complexity. Customers can configure their specific compliance needs by adjusting parameters within the standardized framework, eliminating the need for complex custom implementations while maintaining full customization capability.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for custom processing in data privacy integration protocols. One example method includes a customer of a data privacy integration (DPI) service providing custom logic for customizing the DPI service. The DPI service generates and sends a DPI work package in response to receiving a DPI protocol request from the customer. Responder applications that receive the DPI work package evaluate the DPI work package and send work package responses. At least one responder application includes in at least one work package response at least one responder feedback flag. The DPI service evaluates the DPI work package responses including the evaluation of at least one responder feedback flag using the custom logic provided by the customer. The DPI service sends a response to the DPI protocol request that includes an overall status of DPI processing of the DPI protocol request.