AI-Based Artificial Profile Model for Data Privacy Masking

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Solution Overview

Problem

Computing devices expose sensitive data that can be exploited by unauthorized network hosts, leading to privacy risks and potential data breaches.

Innovation Solution

A data protection platform using artificial-intelligence-based modeling generates artificial profiles to dynamically control and modify data privacy elements, masking computing devices to prevent unauthorized access and data exposure.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If computing devices connect to network hosts to access webpages, then network functionality and information access are enabled, but sensitive data privacy elements are exposed to unauthorized hosts

Engineering Contradiction:

Improvenetwork access capabilityVSAvoiddata exposure risk

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces a data protection platform as an intermediary between computing devices and network hosts. This platform dynamically generates and modifies artificial profiles that mask real device characteristics while enabling network communication. The intermediary preserves network functionality by allowing connections while filtering and obfuscating sensitive data elements, thus resolving the contradiction between network access and data protection.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates artificial copies of device profiles that replace real device identifiers and characteristics. These synthetic profiles mimic legitimate device behavior and data patterns, allowing network hosts to interact with what appears to be real devices while the actual sensitive information remains protected. This copying approach enables network functionality while eliminating direct exposure of real device data.

Inventive Principle:

Principle #26Copying

2Ease of operation

If data privacy elements are exposed for network communication, then device identification and network interaction are enabled, but vulnerability exploitation and data breaches occur

Engineering Contradiction:

Improvenetwork communication efficiencyVSAvoidsecurity against unauthorized access

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent implements dynamic profile generation and modification where artificial device profiles are continuously updated and adapted during network communication. Rather than static masking, the system dynamically adjusts profile characteristics in response to network interactions, making it difficult for unauthorized hosts to exploit vulnerabilities while maintaining seamless communication. This dynamic approach preserves operational efficiency while enhancing security reliability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies preliminary protective measures by pre-generating artificial profiles that mask sensitive device characteristics before network communication occurs. This preliminary action prevents unauthorized hosts from directly accessing real device identifiers and vulnerabilities, establishing a protective barrier in advance that maintains both communication efficiency and security reliability.

Inventive Principle:

Principle #9Preliminary anti-action

3Object-affected harmful factors

If artificial profiles are generated to mask device identity, then data privacy protection is improved, but system complexity increases

Engineering Contradiction:

Improvedata exposure protectionVSAvoidprofile management complexity

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent implements self-service mechanisms where the data protection platform automatically generates, manages, and updates artificial profiles without requiring manual intervention. The system self-adapts to network conditions and automatically adjusts profile characteristics, reducing the operational complexity burden on users while maintaining strong data exposure protection. This automation resolves the contradiction by handling complexity internally while providing simple external interfaces.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250232065A1Systems and methods for controlling data exposure using artificial- intelligence-based modeling

Publication Date: 2025.07.17 GREY MARKET LABS PBC

AI summary

Systems and methods for controlling the exposure of data privacy elements are provided. The systems and methods may generate an artificial profile model. The artificial profile model may include a constraint for generating new artificial profiles. A signal may be received indicating that a computing device is requesting access to a network location. One or more data privacy elements associated with the computing device can be detected. An artificial profile can be determined for the computing device. The artificial profile may be usable to identify the computing device. The one or more data privacy elements may be automatically modified according to the constraint included in the artificial profile model. The method may include generating a new artificial profile for the computing device. The new artificial profile may include the modified one or more data privacy elements. The new artificial profile may mask the computing device from being identified.