Score
From 0 to 100, explainable and reproducible, with signal coverage stated.
Learn more01Quantitative research and intelligence
GWK measures how much of each organization's encrypted information remains exposed to quantum computers, and for how long that matters. A published formal model, applied to organizations across 15 sectors.
80,182 organizations in the Oct 7, 2026 publication · formal model published on arXiv
How it works
No agent, no credentials, no access to internal systems. Collection observes what the organization already exposes online and, where applicable, takes in declared information. IEQ organizes that evidence into three dimensions — cryptographic vulnerability, observable exposure, and confidentiality horizon —, adjusted by a governance factor, produces a measure with stated coverage, and places it on the sector scale. That structure is what GWK's applications reuse.
From 0 to 100, explainable and reproducible, with signal coverage stated.
Learn more01The organization's position against aggregates from its own sector, with the benchmark and cutoff date stated.
Learn more02The dimensions of the result, with the evidence behind each one. Where to start, and how urgently.
Learn more03Decisions it supports
Boards, security, risk, migration, and research teams ask different questions. The same quantitative structure answers each one; every card leads to the answer and the application behind it.
IEQ applications
One scientific and data foundation, applied to different decisions. Three products are in production; two are on the roadmap.
Available now
Who is GWK
GWK Security produces quantitative intelligence on cryptographic exposure. IEQ is the core instrument: a published formal model, collection at scale, and versioned publications that feed the products and the GWK Insights analyses. GWK also supports interpreting the results in the context of each decision.
View publications
Founder & CEO
PhD in Physics
Leads the scientific and strategic direction. Principal author of the IEQ formal framework.

Founder & CTO
Mechanical Engineering · MBA in Data Science
Data architecture, analytics, and platform engineering for IEQ. Experience in regulated sectors.

Founder & CSO
MSc in Physics
Scientific front for QKD, post-quantum cryptography, and the interface with experimental research.
Publications
The founders' research develops and documents the method IEQ puts into operation. Publishing it opens the method and its limits to review.
Vulnerability and exposure multiply: without either there is no HNDL attack, and the score saturates as defense meets attack.
arXivA drift inside the block vanishes in the global average. The minimal detectable drift falls as 1/√n, and a calibrated CUSUM reaches that limit.
arXivAcross 39,903 organizations, vulnerability is nearly uniform across sectors; data horizon is what separates the three priority blocks.
DOIGWK Insights
Market intelligence · 8 min read
GWK's independent analysis assigns IEQ 2.2 to hubspot.com and 35.7 to freshworks.com. Separately, the article shows how to convert an exposure difference into value, using hypothetical economic scenarios with explicit assumptions.
Read the analysisCryptographic exposure · 7 min read
Assessing cryptographic exposure means considering how long information will remain valuable. GWK's approach brings this temporal dimension into the interpretation of technical signals.
Read the analysisNext step
IEQ applications are used on the GWK platform, with account access provisioned by GWK. With it, you look up the organizations in the publication, use the available products, and analyze domains not yet in the base.