India has intensified its cybersecurity vigilance after Union Finance Minister Nirmala Sitharaman chaired a high-level emergency review on possible threats to the banking sector from advanced artificial intelligence systems, with particular focus on Anthropic Mythos AI. The meeting, held jointly with Union Minister Ashwini Vaishnaw, brought together top banking executives, regulators, and cybersecurity agencies to assess how emerging AI models could be misused to weaponise software vulnerabilities.
The development signals that India is now treating AI linked cyber threats as a serious financial stability issue, especially as the country operates one of the worldโs largest and fastest growing digital banking ecosystems.
Top Officials Join Strategic Security Review
The meeting was attended by senior stakeholders including officials from the Department of Financial Services, CERT-In, Reserve Bank of India, National Payments Corporation of India, and managing directors and chief executives of Scheduled Commercial Banks.
The broad participation underlines the seriousness of the threat perception and the need for sector wide preparedness rather than isolated responses by individual institutions.
Sitharaman Appreciates Progress but Warns of New Risk
During the discussions, the Finance Minister acknowledged the work already done by banks in strengthening cybersecurity systems and digital safeguards in recent years. However, she reportedly cautioned that the nature of risks emerging from the latest generation of AI models is unprecedented and may require a much higher level of vigilance and readiness.
She emphasised that traditional approaches may no longer be enough as cyber threats become faster, more automated, and increasingly intelligent.
Why Anthropic Mythos AI Is Under Focus
Anthropic Mythos AI is understood to be a highly advanced cybersecurity focused model developed by Anthropic. The system has drawn international attention because of reports that it can independently identify hidden flaws in software systems, outdated code, browsers, and operating environments.
While such capabilities can be used to strengthen cyber defenses by finding weaknesses early, they can also be dangerous if used by bad actors to exploit vulnerabilities before patches are deployed.
This dual use nature has made Mythos one of the most closely watched AI systems in cybersecurity circles.
Banks Directed to Upgrade Defences
The Finance Minister instructed banks to engage top cybersecurity professionals and specialised agencies to continuously enhance defensive and monitoring capabilities.
Institutions were also advised to take immediate preventive steps to secure IT infrastructure, protect customer information, and safeguard financial resources. Any suspicious activity or cyber incident must be reported quickly to CERT-In and relevant authorities.
The message from the government was clear: prevention, speed, and coordination are now essential.
Real Time Intelligence Sharing Framework Planned
One of the major outcomes of the meeting was the push for a robust real time threat intelligence sharing mechanism connecting banks, CERT-In, and other agencies.
Such a framework would allow emerging cyber threats to be detected early and communicated rapidly across the banking network, helping institutions respond before attacks spread.
The Indian Banks' Association has also been asked to create a coordinated institutional mechanism that can deliver swift and effective sector wide responses during emergencies.
Why Banking Sector Is a Prime Target
Indiaโs rapid expansion in mobile banking, instant digital payments, UPI transactions, and cloud based banking platforms has created enormous convenience and scale. It has also increased the importance of securing mission critical financial infrastructure.
Any AI system capable of autonomously scanning systems, discovering unknown weaknesses, or enabling advanced fraud and intrusion attempts could create serious operational risks if left unchecked.
India Moves Toward AI Led Defence
Officials are expected to explore how artificial intelligence itself can be used to defend against machine speed threats. This may include AI based fraud detection, anomaly monitoring, predictive risk alerts, and automated response systems.
As digital finance grows deeper across India, the countryโs strategy is increasingly clear: the future of cybersecurity will require AI defending against AI.
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