U.S. AI Firm Grants India Access To Cybersecurity Model
India-West News Desk
WASHINGTON, D.C. – India has been included in a limited group of countries granted access to Claude Mythos Preview, a specialized cybersecurity artificial intelligence model developed by U.S.-based AI company Anthropic.
The access comes through Project Glasswing, Anthropic’s cybersecurity initiative, which has expanded to about 150 organizations across more than 15 countries. Anthropic said the program is focused on organizations that operate critical infrastructure and provide services relied upon by millions of people.
Anthropic has not disclosed the identities of the Indian organizations participating in the initiative.
India is among a group of countries that includes France, Germany, Italy, Switzerland, the Netherlands, Spain, Belgium, Sweden, Canada, Japan, South Korea, Australia and New Zealand.
Claude Mythos Preview is designed for advanced cybersecurity research, code analysis and vulnerability discovery. According to Anthropic, the model can analyze large software codebases and identify security flaws that may otherwise go undetected.
The company has not made Mythos publicly available and has instead limited access to selected partners through Project Glasswing.
Launched in April 2026, Project Glasswing initially provided access to about 50 partners, including technology companies, cybersecurity firms, financial institutions and open-source organizations. The latest expansion marks its first major rollout beyond the United States and United Kingdom.
In its blog announcing the expansion, Anthropic said participating organizations share a common risk profile.
“What each partner has in common is that a successful attack on their codebase could be catastrophic. For most partners, we estimate that a major attack could affect more than 100 million people, with important ramifications for both global and national security,” the company said.
According to Anthropic, organizations participating in Project Glasswing have already identified more than 10,000 high- or critical-severity software vulnerabilities using the model.
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