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Research

Data-Driven Quantum Security Insights

Original research on post-quantum cryptography adoption, enterprise exposure patterns, and migration economics. Methodology and sources documented for peer review.

Published Research

Analysis|
January 14, 2026

Enterprise Quantum Exposure Analysis

Cryptographic vulnerability patterns across Fortune 500 environments

Analysis of cryptographic deployment patterns based on Certificate Transparency logs, public scan data, and NIST compliance frameworks. Identifies exposure windows and migration priorities.

83% of enterprises rely on RSA-2048 or weaker<5% have begun PQC migration10-15 year HNDL exposure window
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Upcoming Research

Target: Q2 2026

Q-Day Timeline Forecast Model

Probabilistic model for cryptanalytically relevant quantum computing based on hardware roadmaps and error correction advances.

Target: Q3 2026

PQC Migration Cost Analysis

TCO modeling for post-quantum migration across different enterprise architectures and industry verticals.

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Research Methodology

All Qryptonic research is based on publicly verifiable data sources including Certificate Transparency logs, NIST publications, peer-reviewed academic papers, and industry reports. Methodology sections document data sources, sampling approaches, and limitations. We welcome peer review and correction.

Questions about methodology? Contact us