Privacy Risk Management via Automated Workflow Planning
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Solution Overview
Problem
Current workflow systems lack an automatic mechanism for preserving privacy, relying on human experts to manage privacy risks, which is inefficient and difficult, especially in large systems where changes can invalidate deployed workflows and require costly, time-consuming reconfiguration.
Innovation Solution
A system and method that uses planning techniques to create and deploy workflows with privacy risk values below a predefined threshold, automatically managing privacy risks by generating strategies that minimize disclosure risks associated with personally identifiable information through a network of processing elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human experts manually manage privacy risks in workflow systems, then privacy protection can be achieved, but the process becomes inefficient and difficult especially in large systems
Solution Approach 1:
The system automatically manages privacy risks through self-service mechanisms including automated workflow analysis, privacy risk assessment, and dynamic workflow modification without requiring continuous human expert intervention. The system autonomously detects privacy risks, evaluates compliance requirements, and adjusts workflows to maintain privacy protection while ensuring operational efficiency.
2Reliability
If workflows are manually reconfigured in response to environmental changes, then privacy compliance can be maintained, but the process becomes costly and time-consuming
Solution Approach 1:
The system implements continuous feedback mechanisms that monitor environmental changes, reassess privacy risks, and automatically trigger workflow modifications when compliance thresholds are breached. This closed-loop approach ensures privacy compliance is maintained dynamically without manual reconfiguration, reducing both time loss and operational costs while adapting to changing conditions in real-time.
3Productivity
If automated planning techniques are used to create workflows, then productivity improves, but privacy control is not considered in the planning process
Solution Approach 1:
The system merges automated planning techniques with privacy control mechanisms into a unified workflow creation process. The planning algorithm simultaneously optimizes for productivity goals and privacy compliance requirements, integrating privacy risk assessment, policy enforcement, and workflow generation into a single automated process that achieves both efficiency and reliability.
Data Source
AI summary
System and methods are provided for managing and mitigating privacy risks in a system having a network of processing elements. According to one method, there is receive a request for at least one output product from the system. The request includes a set of privacy parameters. At least one set of workflow generating strategies are created that results in the output product having a privacy risk value below a predefined threshold. At least one of the workflow generating strategies is deployed for automatically producing the at least one output product.


