Data Compliance Bots for Metadata-Governed Usage Risk Assessment
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Solution Overview
Problem
Existing mechanisms lack reliable processes for determining whether data is used legally and correctly, and identifying potential risks arising from its use in various computing environments by various users and user devices.
Innovation Solution
A data management architecture that monitors data usage, deploys data compliance 'bots' to evaluate compliance with metadata attributes, and takes remedial actions such as generating alerts or preventing improper data use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data compliance bots are deployed to monitor and evaluate data usage in real-time, then data usage reliability and compliance are improved, but system complexity increases
Solution Approach 1:
The patent introduces data compliance bots as intermediary components that act as mediators between data sources and data consumers. These bots monitor data usage requests, evaluate them against compliance rules, and enforce policies without requiring complex integration into existing data systems. The bots serve as standalone enforcement mechanisms that simplify the overall system architecture while maintaining high compliance standards.
Solution Approach 2:
The data compliance bots are configured to autonomously evaluate and enforce compliance rules without requiring constant human intervention or complex centralized control. Each bot independently monitors its assigned data sources, applies compliance criteria, and takes corrective actions such as blocking non-compliant usage or generating alerts. This self-service capability reduces system complexity while maintaining reliable compliance monitoring.
2Manufacturing precision
If comprehensive metadata attributes are applied to govern data usage, then data usage control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent applies metadata attributes to data sources and data consumers in advance, before actual data usage occurs. These pre-defined attributes establish compliance rules, usage restrictions, and evaluation criteria that are automatically enforced by the data compliance bots. By preparing compliance frameworks beforehand, the system achieves precise control over data usage without requiring complex real-time decision-making or manual configuration during operations.
3Measurement precision
If real-time monitoring of electronic usage requests is implemented, then identification of improper data use is improved, but loss of time in processing increases
Solution Approach 1:
The patent replaces manual or mechanical review processes with automated electronic monitoring and evaluation systems. Data compliance bots use software-based mechanisms to monitor, evaluate, and enforce compliance rules in real-time, substituting human analysis with automated computational processes. This substitution maintains high identification accuracy for improper data use while significantly reducing processing time through efficient algorithmic evaluation.
Data Source
AI summary
Systems, apparatuses, methods, and computer program products are disclosed for managing data usage. An example method includes monitoring electronic usage of a governed data set in a computing environment, wherein the governed data set comprises a governed business element, and wherein the governed business element comprises a business element and a metadata attribute configured to govern electronic usage of the business element. The example method further includes identifying, via a data compliance bot, transmission of an electronic usage request from a user device, wherein the electronic usage request comprises a request for a user of the user device to electronically use the business element in the computing environment. The example method further includes identifying the metadata attribute based on the business element. Subsequently, the example method includes determining whether electronic use of the business element is allowed.