Indian Entities Get Anthropic Mythos AI Access for Cybersecurity

Indian government agencies and private firms have gained access to Anthropic’s Mythos AI model through Project Glasswing to bolster cybersecurity and detect software vulnerabilities, with participation currently limited to single-digit entities. The initiative, expanded globally to 150 additional organizations across 15 countries, aims to uncover critical security flaws in widely used codebases, including those relied upon by governments and critical infrastructure operators.
A select group of Indian government agencies and private firms have secured access to Anthropic’s Mythos AI model as part of Project Glasswing, an initiative designed to enhance cybersecurity by identifying software vulnerabilities. Sources familiar with the matter indicate that participation is currently limited to single-digit entities, spanning both public and private sectors, though specific names were not disclosed. Anthropic’s Project Glasswing, launched globally in April, initially granted access to 50 partners who uncovered over 10,000 high- or critical-severity security flaws in codebases. The program expanded this week to include around 150 additional organizations across more than 15 countries, focusing on operators of critical infrastructure such as power, water, healthcare, communications, and hardware. Many new partners are vendors whose codebases support global organizations, including governments, emphasizing the far-reaching impact of potential cyberattacks. Anthropic stated that successful breaches could affect over 100 million people in some cases, underscoring the urgency of securing digital infrastructure. Access to Mythos AI enables participating organizations to detect vulnerabilities, test defenses, and accelerate patching of vulnerable software systems. The model, part of Anthropic’s Claude Mythos Preview, is described as a collaborative effort to secure the world’s most important software. While the initiative aims to strengthen cybersecurity, Anthropic separately urged leading AI labs to moderate the pace of AI development, warning that unchecked advancements could outstrip human oversight and pose broader societal risks. In a recent blog post titled *When AI Builds Itself*, Anthropic highlighted the rapid evolution of advanced AI models and suggested the need for temporary pauses in development to align societal structures with technological progress. The company emphasized the importance of balancing innovation with safety measures to mitigate potential risks. An email inquiry to Anthropic did not yield an immediate response regarding the specifics of Indian participation.
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