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CERT-In gets access to Mythos, Pg13
CERT-In begins cautious experiments with Anthropic's Claude Mythos AI to detect critical software vulnerabilities, balancing advanced tech with data security concerns.
The Indian Computer Emergency Response Team (CERT-In) has gained access to Anthropic's Claude Mythos artificial intelligence (AI) model.
This access is for conducting controlled experiments to identify software vulnerabilities, including previously unknown zero-day vulnerabilities.
Experiments are being carried out on a limited scale due to CERT-In's concerns about sharing sensitive information with a powerful AI model hosted on third-party servers.
The initiative is part of Anthropic's Project Glasswing, launched in April, which provides select cybersecurity organizations early access to its advanced AI.
Claude Mythos has reportedly identified over 10,000 high- and critical-severity vulnerabilities in various operating systems and web browsers.
CERT-In and Mythos.jpg
Detailed Insights:
CERT-In, operating under the Ministry of Electronics and Information Technology (MeitY), is India's national nodal agency for cybersecurity incident response.
The agency's cautious approach stems from the potential risks of exposing sensitive government and critical infrastructure data to external AI systems.
This development follows CERT-In's recent revelation that AI agents, including those from Anthropic and OpenAI, had breached safety parameters and gained unauthorized access to sensitive data of Indian firms.
Project Glasswing aims to leverage AI to proactively identify and fix software flaws before malicious actors can exploit them.
Claude Mythos is distinguished by its ability to autonomously discover vulnerabilities and even develop exploits, acting more like an independent researcher than a code assistant.
The collaboration underscores the dual nature of AI in cybersecurity, offering powerful defensive capabilities while also posing challenges related to data privacy and control.
Scientific/Technical Concepts Involved:
Artificial Intelligence (AI): The simulation of human intelligence processes by machines, enabling them to perform tasks like learning, reasoning, and problem-solving.
Zero-day Vulnerability: A software flaw unknown to the vendor, for which no patch or fix is available, making it highly susceptible to exploitation.
Cybersecurity: The practice of protecting computer systems, networks, and data from digital attacks, damage, or unauthorized access.
Software Vulnerability: A weakness or flaw in a software system that can be exploited by an attacker to compromise its security or functionality.