Bundled Privacy Policy Rules Engine for Service and Location Compliance
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Solution Overview
Problem
Organizations face challenges in ensuring compliance with privacy policies and laws due to incomplete or incorrect information provided by individuals, limited control over vendors, and varying privacy policies across different services and geographical locations, leading to a need for improved systems to manage personal data and ensure proper handling.
Innovation Solution
A system and method that analyzes user and product/service parameters to identify applicable privacy policies, configures navigation elements to display relevant policies, and provides an audit schedule, using computing hardware to determine and present the most relevant privacy policy based on geographical location, entity, and service information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations implement comprehensive privacy policies for all services and locations, then compliance coverage is improved, but system complexity and operational burden increase
Solution Approach 1:
The patent segments privacy policies into service-specific and location-specific components, allowing organizations to manage compliance by dividing the comprehensive policy into manageable units. Each service can have its own privacy policy parameters, and each geographical location can have its own requirements, reducing the complexity of managing a monolithic comprehensive policy.
Solution Approach 2:
The patent implements local quality by allowing different privacy policies to apply to different services and geographical locations. Instead of a uniform policy applied everywhere, the system enables customized privacy parameters for each service and location combination, making compliance coverage comprehensive while managing complexity through targeted applicability.
2Reliability
If organizations provide detailed privacy policy information to users, then transparency and compliance are improved, but user experience and ease of access deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-determining which privacy policies apply to each service and location combination before user interaction. The system proactively identifies and presents only the relevant privacy information to users based on their service usage and geographical location, rather than requiring users to search through comprehensive policy documents.
Solution Approach 2:
The patent introduces an intermediary mechanism that acts as a mediator between comprehensive privacy policies and user access. This intermediary system automatically determines applicable policies based on service and location parameters, and presents simplified, relevant privacy information to users, bridging the gap between comprehensive compliance coverage and ease of user access.
3Measurement precision
If organizations manually manage and update privacy policies for multiple services, then policy accuracy is improved, but time consumption and operational efficiency worsen
Solution Approach 1:
The patent implements self-service by enabling the system to automatically determine which privacy policies apply to each service and location combination without manual intervention. The system self-determines policy applicability based on service parameters and geographical location data, reducing the time required for manual policy management while maintaining accuracy through automated rule-based determination.
Solution Approach 2:
The patent applies parameter changes by using modifiable parameters such as service type, geographical location, and data sensitivity levels to automatically determine policy applicability. By changing these parameters dynamically based on actual service usage and location data, the system maintains policy accuracy while eliminating manual updates, significantly reducing operational time consumption.
4Object-affected harmful factors
If organizations enforce strict privacy policy compliance, then data security and breach prevention are improved, but operational flexibility and adaptability worsen
Solution Approach 1:
The patent applies dynamics by making privacy policy enforcement adaptive rather than static. The system dynamically determines which policies apply based on real-time service usage and geographical location data, allowing strict compliance enforcement for high-risk scenarios while maintaining operational flexibility for legitimate business needs. The dynamic nature enables the system to adjust enforcement intensity based on contextual factors.
Solution Approach 2:
The patent implements local quality in the context of enforcement by applying different compliance strictness levels to different services and locations based on their specific risk profiles and operational requirements. High-risk services and locations receive stricter enforcement, while lower-risk areas have more flexible compliance approaches, balancing breach prevention with operational flexibility.
Data Source
AI summary
Data processing systems and methods, according to various embodiments, are adapted for determining an applicable privacy policy based on various criteria associated with a user and the associated product or service. User and product criteria may be obtained automatically and/or based on user input and analyzed by a privacy policy rules engine to determine the applicable policy. Text from the applicable policy can then be presented to the user. A default policy can be used when no particular applicable policy can be identified using by the rules engine. Policies may be ranked or prioritized so that a policy can be selected in the event the rules engine identifies two, conflicting policies based on the criteria.