Zero-Knowledge Proof Modeling for Private Compliance Verification

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Solution Overview

Problem

Existing cybersecurity systems face challenges in protecting sensitive cyber resilience data during exchanges and operations, exposing data to third parties, leading to privacy risks and unauthorized access, and lack integrated incident response capabilities and dynamic adaptability to evolving threats.

Innovation Solution

Implementing a zero-knowledge proof (ZKP) architecture that generates cryptographic commitments to obfuscate cyber resilience data, providing verifiable proof of compliance while safeguarding underlying data, and a customized cybersecurity framework for dynamic threat adaptation and vendor engagement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If cyber resilience data is exchanged and shared with third parties for verification and compliance, then transparency and trust are improved, but data privacy and security are worsened due to exposure risks

Engineering Contradiction:
Improvetransparency and trustVSAvoiddata privacy and security
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent introduces zero-knowledge proofs as an intermediary mechanism that enables verification of compliance data without exposing the actual sensitive information. The ZKP acts as a mediator between the need for transparency (verification by third parties) and the need for privacy (protection of underlying data), allowing proofs to be shared while keeping the original cyber resilience data confidential.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent extracts only the essential verification information needed for compliance checking while leaving the sensitive underlying data behind. Through ZKP, the system extracts proof of compliance status without extracting or exposing the actual sensitive cyber resilience data, thus achieving verification while maintaining privacy.

Inventive Principle:
Principle #2Taking out (Extraction)

2Object-affected harmful factors

If traditional data protection methods are used to safeguard cyber resilience data, then data confidentiality is improved, but verification capabilities and incident response efficiency are worsened

Engineering Contradiction:
Improvedata confidentialityVSAvoidverification capabilities and incident response efficiency
Core Design Contradiction:
Object-affected harmful factorsVSProductivity

Solution Approach 1:

The patent creates cryptographic copies (zero-knowledge proofs) of the compliance information that can be freely shared and verified without compromising the original sensitive data. These ZKP copies serve as surrogate representations that enable efficient verification and incident response while the original confidential data remains protected.

Inventive Principle:
Principle #26Copying

3Measurement precision

If sensitive cyber resilience data is exposed to third parties for verification, then compliance verification is improved, but unauthorized access risks and data breach vulnerabilities are worsened

Engineering Contradiction:
Improvecompliance verificationVSAvoidunauthorized access risks and data breach vulnerabilities
Core Design Contradiction:
Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

Zero-knowledge proofs serve as an intermediary that enables precise compliance verification without creating direct exposure pathways for unauthorized access. The ZKP mechanism allows third parties to verify compliance with high precision while the cryptographic structure inherently prevents data breach vulnerabilities by design.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Object-affected harmful factors

If cryptographic commitments are generated to obfuscate cyber resilience data, then data protection is improved, but computational overhead and processing complexity are worsened

Engineering Contradiction:
Improvedata protectionVSAvoidcomputational overhead and processing complexity
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent performs preliminary cryptographic processing to generate zero-knowledge proofs in advance, before any verification or sharing occurs. This preliminary action prepares the data protection mechanisms beforehand, reducing the computational overhead during actual verification operations and incident response scenarios.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250258951A1Systems and methods for zero-knowledge proof (ZKP) modeling
Publication Date: 2025.08.14 AS0001 INC
  • US20250258951A1 patent drawing
  • US20250258951A1 patent drawing
  • US20250258951A1 patent drawing

AI summary

Systems, methods, and/or computer readable storage media for protecting data. A system can include one or more processing circuits configured to receive or identify at least one token including cyber resilience data of at least one entity and corresponding with at least one posture or compliance parameter of at least one third party The one or more processing circuits can perform a zero-knowledge proof (ZKP) on the cyber resilience data, determine at least one posture or compliance parameter of the at least one third party is satisfied based on the cyber resilience data, and/or generate at least one ZKP including at least one cryptographic commitment obfuscating the cyber resilience data. The one or more processing circuits can provide, to at least one third party computing system of the at least one third party, the at least one ZKP or indication of performance of the at least one ZKP.