Privacy Approval System Automating Data Compliance
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Solution Overview
Problem
Current systems for data privacy compliance in service providers are inefficient due to manual, unstructured processes and lack of centralized storage, leading to inconsistencies and delays in approving new application features that use user data.
Innovation Solution
A graphical user interface and database system that automates data privacy compliance by structuring information about new application features, allowing software developers to select predetermined fields for data utilization, and automatically generating a risk score for compliance, thereby streamlining the approval process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual, unstructured processes are used for data privacy compliance approval, then flexibility in handling diverse compliance scenarios is maintained, but the approval time and processing efficiency increase significantly
Solution Approach 1:
The patent segments the compliance approval process into distinct modules: risk assessment module that evaluates data sensitivity, approval workflow module that routes requests based on risk level, and centralized database that stores structured compliance policies. This segmentation allows automated processing of routine cases while preserving manual review capability for complex scenarios, thus improving efficiency without sacrificing flexibility.
Solution Approach 2:
The system implements dynamic routing where the approval process adapts based on the assessed risk level of each data utilization request. Low-risk requests automatically proceed through streamlined approval channels, while high-risk requests are routed to senior compliance officers for detailed review. This dynamic adjustment optimizes processing efficiency while maintaining appropriate oversight.
2Reliability
If manual compliance approval processes are used, then comprehensive review of each case is possible, but the time required for approval and inconsistencies between reviewers increase
Solution Approach 1:
The system performs preliminary automated risk assessment and compliance checking before human review. The risk assessment module pre-evaluates data sensitivity, intended use, and potential compliance issues, preparing a structured analysis that guides subsequent human review. This preliminary action reduces the time required for manual review while maintaining thoroughness by focusing human expertise on critical decision points.
Solution Approach 2:
The centralized database stores structured compliance policies and previous approval decisions, providing feedback mechanisms that ensure consistency across reviewers. The system tracks approval patterns, identifies inconsistencies, and provides guidance to reviewers based on established precedents, thereby maintaining reliable and thorough review standards while reducing variability in approval outcomes.
3Productivity
If centralized storage for compliance information is implemented, then consistency and efficiency in approval processes improve, but system complexity and initial setup requirements increase
Solution Approach 1:
The centralized database is designed as a multi-functional platform that stores compliance policies, risk assessment results, approval decisions, and auditor information in a unified structure. This universal system serves multiple purposes: automated risk assessment, approval routing, decision tracking, and reporting, thereby improving overall process efficiency without requiring separate complex systems for each function.
4Productivity
If automated risk scoring is implemented, then approval speed and consistency improve, but the complexity of the automation system and initial configuration burden increase
Solution Approach 1:
The automated risk scoring system uses configurable parameters that can be adjusted based on organizational policies and regulatory requirements. The risk assessment module evaluates multiple parameters (data sensitivity, intended use, retention period, sharing scope) with weights that can be modified through configuration files rather than code changes. This allows the system to adapt to different compliance scenarios and regulatory environments without requiring complex reprogramming, thus improving approval speed while managing system complexity.
Data Source
AI summary
Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for determining whether data utilization is privacy compliant. The program and method includes receiving input, via a graphical user interface, that includes identification of an application feature that utilizes user data collected from a plurality of users of the application; generating, for display in the graphical user interface, a plurality of fields that characterize utilization of user data; receiving, via the graphical user interface, a selection of one or more fields, the selected one or more fields characterize the utilization of the user data by the application feature; determining, based on the selected one or more fields, whether the utilization of the user data is privacy compliant; and generating, for display, an approval status indicating whether the utilization of the user data is privacy compliant.