Data Security Score Evaluation System

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Solution Overview

Problem

Users and consumers face challenges in determining if companies handle personal, confidential, and private data securely and ethically, leading to concerns about unauthorized access and misuse.

Innovation Solution

A computer-implemented method and system for evaluating data security, which includes receiving a request to assess data security operations, determining data security factors, generating a data security score using a data security model, and outputting this score to provide an objective evaluation of an entity's data handling practices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If companies collect and store personal, confidential, and private data, then they can provide personalized services and improve business operations, but users face risks of unauthorized access and misuse of their data

Engineering Contradiction:
Improvedata utilization capabilityVSAvoiddata security risks
Core Design Contradiction:
Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a data security evaluation system as an intermediary between data collectors (companies) and data subjects (users). This system assesses and rates companies' data security practices, providing transparency and trust without preventing companies from utilizing data for service personalization and business improvement.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If users want to ensure their data is handled securely, then they need detailed information about company data practices, but this creates complexity in evaluating and comparing different entities

Engineering Contradiction:
Improvedata security assuranceVSAvoidevaluation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent transforms complex data security evaluation into a simplified parameter-based rating system. Multiple security factors (encryption, access control, breach history, etc.) are converted into a single composite data security score, making it easy for users to compare entities while maintaining reliability through systematic assessment of underlying security parameters.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If companies implement comprehensive data security measures, then data protection improves, but the complexity and cost of maintaining these measures increases

Engineering Contradiction:
Improvedata protection levelVSAvoidsecurity system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent evaluates companies based on multiple security factors but presents a simplified single-score output. The system assesses comprehensive security measures (encryption, access control, monitoring, policies) but condenses this complexity into an manageable rating, allowing companies to implement thorough security without being overwhelmed by the complexity of managing and communicating all individual measures.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20240396920A1Systems and methods for analysis and classification of data security measures and data integrity
Publication Date: 2024.11.28 STATE FARM MUTAL AUTOMOBILE INSURANCE COMPANY
  • US20240396920A1 patent drawing
  • US20240396920A1 patent drawing
  • US20240396920A1 patent drawing

AI summary

The present aspects may relate to techniques for a reliable and trusted evaluation and rating of an entity's (e.g., company) data security and ethical use of user's data. The novel methods and systems of evaluation and rating of data security and ethical use of user's data discussed herein improve user experience (whether individual or organizational) by giving customers an objective evaluation that private or sensitive data is being handled correctly. The method may include (i) receiving a request to evaluate data security operations of one or more computer systems of an entity that have access to private data of one or more users; (ii) determining one or more data security factors for the entity describing storage, security, and sharing of the private data by the entity; (iii) generating a data security score based upon the data security factors using a data security model; and/or (iv) outputting the data security score.