Listener Module Auditing for Metadata Extraction in Pods
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Solution Overview
Problem
Current data extraction techniques operate as black boxes, preventing data controllers or processors from auditing metadata in real-time, and often require sending data to third-party systems for classification, which is a concern for regulated industries and public sectors.
Innovation Solution
Deploying pods in a user space of a node with a listener module to capture and process metadata transparently, allowing for real-time auditing and verification of metadata extraction, using a listener module to monitor network traffic and ensure only metadata is sent to third-party systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If metadata extraction is performed using third-party systems, then data classification and inventory capabilities are improved, but visibility and auditability of the extraction process are lost
Solution Approach 1:
The patent introduces a listener module as an intermediary component deployed within the user space of the node. This listener module captures metadata extraction operations in real-time and transmits them to a metadata analysis module, serving as a mediator between the data extraction process and the auditing system. This allows third-party systems to perform classification and inventory while maintaining visibility through the listener's real-time capture of extraction operations.
Solution Approach 2:
The patent implements a feedback mechanism where the listener module continuously monitors and captures metadata extraction operations, then transmits this information to the metadata analysis module for real-time analysis and auditing. This closed-loop feedback system ensures that extraction activities are continuously visible and auditable while still enabling productive classification and inventory functions.
2Productivity
If data is sent to third-party systems for processing, then classification and inventory functions are enhanced, but data security concerns arise in regulated industries
Solution Approach 1:
The patent extracts only the necessary metadata information from the data extraction process and sends this extracted metadata to the metadata analysis module, rather than sending the actual sensitive data to third-party systems. This selective extraction approach enables classification and inventory functions to be performed on metadata while keeping sensitive data within the secure environment of the regulated industry, thus maintaining data security and compliance.
3Ease of manufacture
If black box solutions are deployed in pods, then deployment simplicity is improved, but auditability of the extraction process is prevented
Solution Approach 1:
The patent embeds the listener module within the user space of the node, nesting it inside the existing pod infrastructure. This nested deployment approach allows the listener to operate transparently within the pod without requiring separate external infrastructure, maintaining deployment simplicity while enabling auditability through the listener's real-time capture of metadata extraction operations.
Data Source
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AI summary
In one embodiment, a method for storing auditable metadata, by a system, includes receiving incoming signals communicated from at least one application service to a first pod associated with a user space of a node. The method further includes extracting metadata associated with data provided by the received incoming signals. The method further includes receiving outgoing signals communicated from the first pod to an external entity, wherein the incoming signals and the outgoing signals are received by a listener module. The method further includes comparing the incoming signals to the outgoing signals to detect a variation and determining that the data has been transmitted to the external entity based on a determination that there is no detected variation from the comparison between the incoming signals and the outgoing signals.