Database Hardware Controller for GDPR Compliance Analysis

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Solution Overview

Problem

Current methods for determining hardware system compliance with general data protection regulations are inaccurate, resource-intensive, and lack flexibility, making them time-consuming and inefficient.

Innovation Solution

A method and system that involves a database hardware controller receiving requests for compliance checks, authorizing analysis code execution, analyzing databases for GDPR compliance, generating results code, and transmitting it via an API to improve storage space and operational functions, thereby enhancing memory storage and threat detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional compliance checking methods are used, then system integrity can be determined, but the process is time-consuming and resource-intensive

Engineering Contradiction:

Improvesystem integrityVSAvoidcompliance checking time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by implementing continuous real-time monitoring of database operations before compliance violations occur. The system proactively analyzes data access patterns, queries, and transactions as they happen, rather than performing retrospective compliance checks. This allows the system to detect and prevent GDPR violations before they compromise system integrity, significantly reducing the time required for compliance verification while maintaining reliability.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces traditional manual or batch-based mechanical compliance checking processes with an automated intelligent system. The system uses machine learning models, pattern recognition algorithms, and automated policy enforcement mechanisms to substitute human-driven or resource-intensive compliance verification. This substitution enables real-time analysis of database operations without consuming excessive computational resources, resolving the contradiction between reliability and time consumption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If comprehensive analysis code is executed to determine GDPR compliance, then accuracy improves, but computational resources and processing time increase

Engineering Contradiction:

Improvecompliance detection accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies partial action by implementing selective and targeted analysis of database operations based on risk assessment. Rather than executing comprehensive analysis code on all database activities uniformly, the system identifies high-risk operations, data types, and access patterns that require detailed scrutiny. Low-risk operations are processed through streamlined validation paths. This selective approach maintains high compliance detection accuracy while significantly reducing overall computational resource consumption by focusing analytical power where it is most needed.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent employs parameter changes by dynamically adjusting the depth and intensity of compliance analysis based on multiple factors including data sensitivity classification, user permissions, operation type, and historical compliance patterns. The system modifies analysis parameters such as sampling rates, validation strictness, and monitoring granularity in real-time. This allows the system to maintain high measurement precision for critical operations while reducing resource consumption for routine operations, effectively resolving the contradiction between accuracy and energy usage.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If existing storage systems are configured, then basic storage functionality is provided, but flexibility and adaptability to different compliance requirements are limited

Engineering Contradiction:

Improvestorage functionalityVSAvoidcompliance configuration flexibility

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent applies dynamics by implementing a flexible and adaptive compliance configuration system that can dynamically adjust to different GDPR requirements and regulatory scenarios. The system features parameterizable compliance policies, configurable data classification schemes, and adaptable retention rules that can be modified without requiring system reconfiguration or downtime. This dynamic approach allows the storage system to maintain high productivity while seamlessly adapting to varying compliance requirements across different jurisdictions and data types, effectively resolving the contradiction between functionality and adaptability.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS10762213B2Database system threat detection

Publication Date: 2020.09.01 KYNDRYL INC

AI summary

A method and system for improving memory storage and threat detection is provided. The method includes requesting and authorizing permission for executing analysis code for determining if a service device is in compliance with general data protection regulations. In response, executable code is uploaded to the database hardware controller and a first database and a second database is analyzed with respect to patterns associated with the general data protection regulations. Associated results code is generated and transmitted the service device. The results code is executed with respect to the first database and the second database resulting in a storage space increase in the first database and the second database thereby improving operational functions of the first database and the second database.