Automated Database Governance System for Compliance Monitoring
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Solution Overview
Problem
Manually monitoring and enforcing database guidelines and best practices across systems is expensive, time-consuming, and often ineffective, leading to costly issues due to retroactive and unfocused checks.
Innovation Solution
A computer-implemented method that analyzes data collections for deviations from standards using deviation detection scripts, determines the characteristics of these deviations, and automatically executes actions to correct them, including notifications and data alterations, to ensure compliance and maintain system stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and enforcement of database guidelines is performed, then compliance can be verified, but the process becomes expensive and time-consuming
Solution Approach 1:
The system enables self-service automated monitoring where the database system itself generates and processes compliance information through built-in mechanisms. The automated enforcement system queries database metadata and logs directly, allowing the system to self-monitor without external manual intervention, thus verifying compliance while eliminating time loss associated with manual checking.
Solution Approach 2:
The patent replaces the mechanical manual monitoring process with an automated computational system. Instead of human administrators manually reviewing database configurations and operations, an automated enforcement system using processors executes scripts and queries to detect deviations, substituting mechanical human effort with automated electronic monitoring that is both faster and more reliable.
2Measurement precision
If random checks of data or system logs are performed, then some deviations can be identified, but many costly problems still occur due to retroactive and unfocused nature
Solution Approach 1:
The system performs preliminary action by proactively and continuously monitoring database operations for deviations before they cause system failures. Instead of waiting for problems to manifest and then conducting random retrospective checks, the automated enforcement system continuously queries database metadata and operational logs to detect compliance violations in real-time, enabling preventive correction before costly failures occur.
Solution Approach 2:
The patent implements feedback mechanisms where the automated enforcement system continuously monitors database operations, detects deviations from guidelines, and triggers corrective actions or notifications. This closed-loop feedback system ensures that compliance issues are identified and addressed systematically rather than through random sampling, improving both detection accuracy and system reliability by maintaining continuous oversight.
3Reliability
If comprehensive monitoring of all systems and applications is implemented, then all deviations can be detected, but the cost and complexity increase significantly
Solution Approach 1:
The patent applies universality by designing a standardized automated enforcement system that can monitor multiple diverse database systems and applications through a unified interface. The system uses generic compliance rules and standardized query mechanisms that work across different database platforms, allowing comprehensive monitoring of all systems without requiring separate complex monitoring solutions for each application, thus maintaining compliance assurance while controlling system complexity.
Data Source
AI summary
A method for regulating a plurality of collections of data includes, for each of a plurality of collections of data, analyzing the collection of data to identify one or more deviations from a standard, guideline, or best practice governing the plurality of collections of data. The method further includes determining a characteristic of the one or more deviations and, based on the characteristic, determining an action to be executed in response to the one or more deviations.