Research, security engineering, and adaptive cryptographic governance.

GWK is a technical organization focused on advanced security, operating across applied research, tooling development, and cryptographic risk consulting — with emphasis on post-quantum scenarios.

The organization sits at the intersection of market and academia, aiming to transform research into viable technical and commercial assets.

GWK is built around a founding technical core responsible for strategic direction and early-stage development, supported by operational roles in machine learning, experimental systems, and project execution.

• Post-quantum security (PQC)
• Technology and security consulting
• Research and development (QKD / experimental systems)

The IEQ (Quantum Exposure Index) is a proprietary model designed to quantify cryptographic risk in post-quantum contexts.

The model integrates:

• Cryptographic surface mapping (TLS, certificates, libraries, APIs)
• Exposure and vulnerability analysis
• Machine learning-based validation

Currently under validation, with large-scale evaluation across ~1,000 entities.

IEQ serves as the foundation for technical reporting and market entry, particularly in the financial sector.

GWK operates an integrated pipeline for cryptographic risk analysis:

1. Cryptographic scanner
2. Risk modeling (IEQ)
3. ML-based validation
4. Automated report generation

This pipeline enables direct conversion of technical data into commercial outputs.

Current strategy is centered on:

• Market entry through quantum risk reports
• Initial focus on the financial sector
• Expansion toward infrastructure and continuous services

Technical positioning:

Adaptive cryptographic governance (QKD + PQC)

Design and development of an adaptive control system for QKD environments, focused on:

• Maintaining positive key rates under non-stationary conditions
• Integration with post-quantum fallback mechanisms
• Dynamic parameter control

Currently under development and being prepared for research funding submission.

GWK operates under a hybrid model between research and market, addressing:

• Validation vs speed of deployment
• Dependence on ML for production readiness
• Evolving organizational structure

To build infrastructure and intelligence for cryptographic security in a post-quantum world, connecting:

• deep research
• operational tooling
• real-world commercial application