Data Protection Modelers for Quantum-Resistant Crypto Migration

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Solution Overview

Problem

Existing data protection systems are vulnerable to quantum computing threats, particularly from quantum computers that can decrypt traditionally secure data, and there is a need for a systematic approach to transition to quantum-resistant cryptography while anticipating future decryption vulnerabilities.

Innovation Solution

The integration of a Post Quantum Cryptography (PQC) modeler and Harvest Now Decrypt Later (HNDL) modeler to systematically select quantum-resistant algorithms, model cybersecurity threats, and map these algorithms with threats to reduce the threat vector surface, ensuring secure data migration and protection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional cryptographic algorithms are used for data protection, then current security standards are maintained and systems operate efficiently, but data becomes vulnerable to quantum computing decryption threats

Engineering Contradiction:

Improvedata protection reliabilityVSAvoidquantum computing vulnerability

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary mapping of workstream elements to cryptographic algorithms and cybersecurity threats before actual quantum threats materialize. By proactively identifying and mapping protection algorithms to potential quantum decryption vulnerabilities, the system prepares mitigation strategies in advance, allowing organizations to transition to quantum-resistant cryptography before their data becomes vulnerable to quantum attacks

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies preliminary anti-action by identifying cybersecurity threats and mapping them to protection algorithms before attacks occur. The mapping system correlates workstream elements with potential quantum computing threats and establishes protective cryptographic measures in advance, preventing vulnerability exploitation rather than responding after compromise

Inventive Principle:

Principle #9Preliminary anti-action

2Object-affected harmful factors

If cryptographic algorithms are migrated to quantum-resistant methods, then future security threats are mitigated, but system complexity and migration challenges increase

Engineering Contradiction:

Improvecybersecurity threat reductionVSAvoidcryptographic migration complexity

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The system segments the cryptographic migration process by breaking down workstreams into individual workstream elements and mapping each element to specific cryptographic algorithms and threats. This granular segmentation allows organizations to migrate cryptographic protections incrementally across different workstream elements rather than attempting system-wide migration simultaneously, reducing overall complexity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The mapping system serves multiple functions: it identifies cybersecurity threats, selects appropriate protection algorithms, maps workstream elements to algorithms, and tracks migration status. This multi-functional approach consolidates what would otherwise require separate tools and processes into a single unified system, reducing migration complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Object-affected harmful factors

If comprehensive threat modeling is performed across all workstream elements, then cybersecurity coverage is maximized, but processing time and computational resources increase

Engineering Contradiction:

Improvecybersecurity threat coverageVSAvoidthreat modeling time

Core Design Contradiction:

Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The system applies partial action by focusing threat modeling efforts on the most critical workstream elements and their associated cybersecurity threats. Rather than uniformly analyzing every single workstream element in detail, the system prioritizes mapping for elements that pose the greatest security risk or contain sensitive data, achieving effective coverage while reducing processing time

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12500921B2Systems and methods for data protection utilizing modelers

Publication Date: 2025.12.16 WELLS FARGO BANK NA

AI summary

Systems, methods, and computer-readable storage media for data protection. One system includes a data processing system including memory and one or more processors configured to determine one or more protection algorithms corresponding to one or more workstream elements of a workstream of one or more data systems. The processors are further configured to model one or more cybersecurity threats of the one or more data systems. The processors are further configured to map the one or more workstream elements of the workstream into the one or more cybersecurity threats based on one or more correlations between the one or more protection algorithms and the one or more cybersecurity threats. The processors are further configured to update a workstream element validation status of the one or more workstream elements based on the mapping of the one or more workstream elements.