Japan's Ministry of Health, Labour and Welfare held a meeting on May 22 [1] to discuss cybersecurity measures for medical institutions.

The gathering focused on the risks posed by a new AI system called Claude Mythos, which can detect system vulnerabilities with high precision. Because medical facilities handle sensitive patient data and critical infrastructure, the ability of an AI to rapidly identify security gaps increases the likelihood of targeted cyberattacks.

Health Minister Kenichiro Ueno said that the ministry intends to re-examine basic cybersecurity measures in the medical field and promptly implement necessary responses [1]. The concern stems from the AI's capacity to uncover flaws that have remained hidden for decades. In one instance, an AI discovered several thousand vulnerabilities [3] that had gone undetected for 27 years [3].

The Japanese government is coordinating a multi-sector response to these frontier AI threats. Minister Matsumoto, the minister in charge of cyber security, said that the government as a whole will increase its efforts to build resilience at the world's highest level [2].

Parallel actions are being taken in the financial sector. Minister Katayama, the minister in charge of financial services, said that the Financial Services Agency is issuing requests to financial institutions to take short-term actions based on the changing threats posed by frontier AI [2].

These coordinated efforts across health and finance suggest a shift in how the Japanese government views AI-driven threats. Rather than treating cybersecurity as a static defense, officials are now treating it as a dynamic race against automated discovery tools.

“"...firstly, I would like to re-examine basic cybersecurity measures in the medical field and promptly proceed with the necessary responses," said Health Minister Kenichiro Ueno.”

The emergence of Claude Mythos represents a paradigm shift in cyber warfare where the 'discovery phase' of an attack is automated and accelerated. By identifying thousands of long-standing vulnerabilities in a short window, AI removes the traditional time-barrier that protected legacy systems in healthcare and finance, forcing governments to move toward a continuous, real-time patching model to avoid systemic failure.