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South Korea Secures Access to Anthropic's Mythos Model

South Korea's Science Ministry announced that the Korea Internet & Security Agency has secured access to Anthropic's cybersecurity AI model Mythos through participation in Project Glasswing, an initiative using frontier AI to identify and fix cybersecurity vulnerabilities. The ministry confirmed KISA's involvement in the program, which Anthropic plans to expand to approximately 150 organizations across more than 15 countries, including Samsung Electronics, SK Hynix, and SK Telecom. South Korea stated it will continue efforts to improve cybersecurity capabilities by utilizing frontier AI models and strengthening domestic AI-based information security technologies.

read2 min publishedJun 3, 2026

Reuters reports that South Korea's Science Ministry said the Korea Internet & Security Agency (KISA) secured access to Anthropic's cybersecurity AI model Mythos through participation in Project Glasswing. The ministry said the initiative is aimed at using frontier AI models to identify and help fix cybersecurity vulnerabilities. Financial Times reported that Anthropic plans to expand access to about 150 organisations in more than 15 countries, and named Samsung Electronics, SK Hynix, and SK Telecom among participants. Reuters adds that Samsung declined to comment and that SK did not immediately respond. The ministry said South Korea will continue efforts to improve cybersecurity capabilities, including using frontier AI models and strengthening domestic AI-based information security technologies, Reuters reports.

What happened

Reuters reports that South Korea's Science Ministry said the Korea Internet & Security Agency (KISA) secured access to Anthropic's cybersecurity AI model Mythos by participating in Project Glasswing. The ministry said it had been working continuously with Anthropic and confirmed KISA's participation in the initiative, which is aimed at using frontier AI models to identify and help fix cybersecurity vulnerabilities. Financial Times reported that Anthropic would expand access to about 150 organisations in more than 15 countries and named Samsung Electronics, SK Hynix, and SK Telecom among those included. Reuters adds that Samsung declined to comment and that SK did not immediately respond.

Technical details

Editorial analysis - technical context: Public reporting frames Mythos as a cybersecurity-focused frontier model for vulnerability identification and remediation. Industry-pattern observations note that models applied to security tasks typically combine large-language capabilities with domain-specific training or fine-tuning on vulnerability reports, exploit databases, and static/dynamic analysis outputs. For practitioners, common technical evaluation metrics include false-positive rate, time-to-triage, explainability of model outputs, and ease of integration with existing security stacks such as SIEM and SOAR.

Context and significance

Industry context: Access for a national cyber agency to a frontier model reflects growing public-private collaboration on operationalizing AI for security. Broader access, as reported by the Financial Times, indicates vendor efforts to place models into the hands of both governments and large incumbents in key technology ecosystems. For technology teams, the arrival of model-driven tooling increases the need for rigorous validation, data governance, and playbook integration.

What to watch

For practitioners: monitor disclosures about evaluation results and red-team testing, the scope and governance of data sharing between KISA and private partners, how Mythos outputs are integrated into incident-response workflows, and any published guidance from the Ministry of Science and ICT on domestic AI-based information security technologies.

Scoring Rationale #

This is a notable development because a national cyber agency gaining access to a frontier model affects operational security practice and public-private collaboration. It is not a model-release-level event but is important for practitioners evaluating integration, governance, and efficacy.

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