Dynamic Data Modification System for Artifact Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional data storage security systems are reactive, failing to proactively identify and remediate anomalies containing unobscured private data, which can lead to data vulnerabilities and exposure.
Innovation Solution
A system that actively monitors data storage locations for unobscured private data, moves identified artifacts to a quarantine storage location, generates context rule sets to modify or replace sensitive information with alternative data, and reintroduces the modified artifacts, ensuring continuous data security and minimizing exposure risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional reactive data storage security systems are used, then system simplicity is maintained, but data security is compromised due to failure to proactively identify and remediate anomalies containing unobscured private data
Solution Approach 1:
The system performs preliminary actions by proactively monitoring data storage locations for anomalies containing unobscured private data before exposure can occur. The monitoring component continuously scans for potential security issues, and the context rule generator pre-establishes modification rules based on artifact types and data fields, enabling preventive remediation rather than reactive response
Solution Approach 2:
The system segments the data security function into distinct modular components: a monitoring component that identifies anomalies, a context rule generator that creates modification rules, a data modulator that applies corrections, and a false positive identifier that validates results. This segmentation allows each component to specialize in one aspect of security enforcement while maintaining overall system manageability
2Reliability
If active monitoring and remediation systems are implemented, then data security is improved, but processing time increases due to continuous monitoring and modification operations
Solution Approach 1:
Context rule sets are generated in advance based on artifact types and data field characteristics, storing modification instructions before they are needed. When anomalies are detected, the system applies pre-defined rules rather than creating modification strategies in real-time, significantly reducing processing time for remediation operations
Solution Approach 2:
The system creates copies of artifacts during the remediation process, moving suspected anomalies to quarantine storage locations and working with copies rather than original files. This allows parallel processing of multiple artifacts and enables false positive identification without impacting production systems
3Object-affected harmful factors
If artifacts are moved to quarantine storage location for remediation, then data exposure risk is reduced, but data accessibility is temporarily reduced during the modification process
Solution Approach 1:
The system introduces a quarantine storage location as an intermediary between the production environment and the remediation process. Artifacts suspected of containing unobscured private data are moved to this intermediate location where they can be safely modified without exposing production systems to risk, while the false positive identification mechanism ensures that incorrectly flagged artifacts are quickly returned to production
Solution Approach 2:
The system implements feedback loops where the false positive identifier continuously evaluates quarantined artifacts and provides information back to the monitoring component. When false positives are identified, artifacts are automatically returned to the production environment, and the monitoring rules are refined to prevent future false flagging, creating a self-correcting system that improves accessibility over time
Data Source
AI summary
A system for dynamic data modification and correction is provided. The system comprising: a memory device with computer-readable program code stored thereon; a communication device connected to a network; a processing device, wherein the processing device is configured to execute the computer-readable program code to: monitor a first data storage location for an artifact stored in the first data storage location, the artifact comprising unobscured private data; move the artifact to a second data storage location based on identifying the unobscured private data; generate a context rule set for the artifact based on an artifact type and one or more data fields of the artifact; modify the artifact to remove the unobscured private data based on the context rule set; and reintroduce the modified artifact to the first data storage location.