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Cert-In warns of Claude Mythos disruptions, issues guidelines for companies

28 Apr 2026
2 min

Government Response to Frontier AI Systems

The Indian Computer Emergency Response Team (Cert-In) has issued guidelines to help organizations prepare for disruptions caused by advanced AI systems like Anthropic’s Claude Mythos.

Background

  • Cert-In operates under the Ministry of Electronics and Information Technology as the nodal agency for cybersecurity.
  • The advisory follows discussions led by Union Finance Minister Nirmala Sitharaman on the impact of Claude Mythos on government systems' financial security.

Key Concerns

  • Claude Mythos and similar AI models can autonomously discover security vulnerabilities, analyze source code, and execute multi-stage attacks.
  • These systems operate at a scale and speed surpassing human expert teams, posing increased risks due to their dual-use nature.

Recommended Actions for Companies

  • Maintain an elevated alert posture and increase the frequency of threat monitoring.
  • Review and reduce internet-exposed attack surfaces, and disable unnecessary ports and protocols.
  • Treat critical vulnerabilities as urgent, requiring immediate action.
  • Segment digital systems to prevent attackers from moving across networks.
  • Harden or replace outdated remote-access systems like older VPNs.
  • Regularly review and patch open-source software components.
  • Monitor and restrict outbound traffic to known AI services.

Training and Awareness

  • Train internal security teams to detect AI-augmented attacks for quick response.
  • Conduct phishing and social engineering training, including AI-generated content simulations.
  • Invest in staff development through industry certifications and build an internal AI security community.

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RELATED TERMS

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AI-augmented attacks

AI-augmented attacks are cyberattacks that leverage artificial intelligence technologies to enhance their effectiveness. This can include using AI for reconnaissance, vulnerability identification, evasion of security measures, or automating attack execution, making them faster and more sophisticated.

Attack surfaces

In cybersecurity, an attack surface is the sum of the different points (the 'surface') where an unauthorized user (an 'attacker') can try to enter, access data from, or otherwise affect a system. Reducing internet-exposed attack surfaces involves minimizing the entry points available to potential attackers.

Dual-use nature

In the context of AI and technology, a dual-use nature refers to the capability of a technology to be used for both beneficial and harmful purposes. For example, advanced AI systems can be used for cybersecurity defense or for launching sophisticated attacks.

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