Anthropic is granting the EU cybersecurity agency ENISA access to its Mythos AI model as part of Project Glasswing, according to reports on June 1, 2026. The pilot will let ENISA test Mythos, a system that can detect and exploit software vulnerabilities, under strict defensive-use conditions.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Mythos is one of the most controversial model families in the frontier stack: a system explicitly designed to find and exploit software vulnerabilities autonomously. Putting it into the hands of ENISA, even under a tightly controlled pilot, is a watershed moment for how democratic governments intend to use offensive‑capable AI tools for defence. The Project Glasswing structure — selective access for vetted organisations, defensive‑only clauses, and pre‑deployment testing — mirrors OpenAI’s Trusted Access for Cyber program and signals an emerging norm: high‑end cyber models will not be released openly, but distributed under gated regimes to states and critical‑infrastructure operators.([techzine.eu](https://www.techzine.eu/news/security/141744/eu-cybersecurity-agency-gains-access-to-anthropic-mythos/?utm_source=openai))
For the AGI race, this is further evidence that red‑teaming and cyber‑security are becoming core monetization paths for frontier labs. Anthropic is building a coalition that includes US agencies, major banks and now an EU cyber authority, effectively turning Mythos into a de facto standard for AI‑assisted vulnerability discovery. That gives the company privileged feedback loops on how such systems behave in real networks — an information advantage that could transfer back into safer, more robust general‑purpose models. It also raises an uncomfortable prospect: as more powerful exploit‑writing systems proliferate among allied governments, the distinction between "defensive" and "offensive" AI capabilities becomes thinner and harder to police.