The yet-to-be-released AI model, Anthropic Mythos, has raised significant concerns among governments, banks, and cybersecurity experts due to its potential to enable autonomous cyberattacks. Unlike traditional models that assist human attackers, Mythos could execute sophisticated cyberattacks independently, compressing the time between identifying and exploiting vulnerabilities. Sanjay Katkar, a cybersecurity expert, warns that this model signifies a critical shift in the threat landscape, where attacks can occur at unprecedented speed. Indian banks, known for their robust digital infrastructure, are paradoxically exposed due to outdated security systems designed for slower threats. The Indian Finance Ministry has initiated discussions with the Reserve Bank of India (RBI) and other stakeholders to bolster cybersecurity frameworks. However, experts like Arjun Nagulapally from AIONOS caution that many banking security systems may not withstand the rapid evolution of threats. The reliance on third-party vendors further complicates the security landscape, as vulnerabilities in these environments can serve as entry points for attacks. While some view the concern surrounding Mythos as alarmist, experts argue that the focus should be on the broader implications of AI-driven threats, which necessitate a shift from reactive to proactive cybersecurity strategies. This includes improving basic practices like patch management and employee training to enhance resilience against AI-powered attacks.