Privacy Enforcement Engine for Automated Compliance
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Solution Overview
Problem
Large and geographically diverse organizations face significant challenges in ensuring consistent compliance with customer privacy regulations due to outdated and inadequately monitored employee education efforts, necessitating an integrated system for enforcing privacy policies across the enterprise.
Innovation Solution
A centralized privacy engine system that receives input on laws, regulations, employee attributes, customer preferences, and data elements to enforce compliance by controlling access to customer data through decisioning processes, including access denial or selective data filtering, using a Cartesian product of associate and customer information tables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate systems and employee education efforts are used to enforce privacy requirements, then implementation simplicity is maintained, but compliance reliability deteriorates due to lack of monitoring and updates
Solution Approach 1:
The patent merges multiple separate privacy enforcement systems into a single integrated automated system that combines policy management, access control, monitoring, and enforcement capabilities. This integration resolves the contradiction by improving compliance reliability through unified management while the modular architecture prevents excessive complexity.
Solution Approach 2:
The system implements self-service capabilities where the automated enforcement system continuously monitors itself, updates compliance rules, and adjusts access controls without requiring manual intervention. This self-monitoring and self-updating mechanism improves reliability while reducing the operational complexity of managing the system.
2Reliability
If comprehensive privacy monitoring and enforcement systems are implemented across large geographically diverse organizations, then compliance reliability improves, but resource expenditure increases significantly
Solution Approach 1:
The patent replaces manual mechanical processes (employee education, manual monitoring, paper-based compliance tracking) with an automated computer-based system that uses algorithms and software to enforce privacy policies. This substitution dramatically reduces resource expenditure while maintaining or improving compliance reliability across geographically diverse organizations.
Solution Approach 2:
The system introduces an automated enforcement engine as an intermediary between privacy policies and actual data access operations. This intermediary automatically evaluates access requests against compliance rules and enforces decisions, eliminating the need for extensive human resources while ensuring consistent compliance across the organization.
3Object-affected harmful factors
If automated enforcement systems with comprehensive data access control are implemented, then privacy protection improves, but system complexity increases
Solution Approach 1:
The patent segments the privacy enforcement system into distinct modular components: policy management module, access control module, monitoring module, and enforcement module. Each module handles specific functions independently, which improves privacy protection through comprehensive control while managing system complexity through modular design that allows independent development and maintenance of each component.
Data Source
AI summary
A system and methods for facilitating privacy enforcement are described. Embodiments of the present invention can deliver automated compliance and/or enforcement for certain consumer privacy laws and privacy-related policies to employees and contractors of an enterprise. When input related to the use of stored customer information is received, data subsystems can be accessed by a privacy engine, which then provides decisioning to produce an enforcement action. Examples of enforcement actions can include denying access to customer information, or granting such access but filtering the information. Enforcement actions can also include updating stored tables or other data structures to maintain an appropriate privacy enforcement posture when new information is added to systems or existing information is changed.