Claude Mythos has started to come out as a risk for the Indian Banking sector with the Reserve Bank of India (RBI) in talks with the global regulators, Indian lenders and government officials to understand the potential risks posed by Anthropic's new artificial intelligence model Mythos. RBI's preliminary assessment suggested that Mythos could pose cybersecurity risks by accelerating the discovery and exploitation of software vulnerabilities.

Union Finance Minister Nirmala Sitharaman also chaired a high-level meeting over concerns that it could pose significant risks to India’s banking sector.

Mythos is the latest addition to Anthropic’s Claude which has unveiled only a limited preview version of the general-purpose language model. It represents a major leap in capability over Anthropic’s existing AI systems, and has drawn global attention because of its ability to autonomously identify serious vulnerabilities in widely used software and infrastructure at a pace far beyond most human researchers.

Dr. Sanjay Katkar, Joint Managing Director at Quick Heal Technologies said, "RBI’s assessment of risks around advanced AI models such as Anthropic’s Claude Mythos reflects a critical inflection point in cybersecurity. These systems are not just analytical tools; they have demonstrated the capability to identify and potentially exploit software vulnerabilities at a speed and scale that far exceeds traditional threat actors. Recent global developments indicate that such models can uncover thousands of weaknesses across core systems, raising concerns about accelerated and automated exploitation, particularly in complex sectors like banking."

From a cybersecurity perspective, this fundamentally shifts the threat model. As highlighted in the India Cyber Threat Report 2026, India is already witnessing 265.52 million detections across over 8 million endpoints, with threats increasingly driven by automation, AI-assisted phishing, and identity compromise. When combined with advanced AI capabilities, this creates a scenario where vulnerabilities can be discovered, weaponised, and deployed in near real time, he said.

"Organisations must respond by moving beyond reactive security to predictive and intelligence-led defense. This includes adopting continuous vulnerability assessment, AI-driven threat correlation, and zero-trust identity frameworks. Equally critical is strengthening secure coding practices and reducing patch latency, as AI models can exploit even short windows of exposure."

"From a resilience standpoint, financial institutions must treat AI as both a tool and a threat surface. Investments in behavioural monitoring, real-time anomaly detection, and external threat intelligence will be key. In an AI-driven threat landscape, the ability to anticipate and neutralise risks before exploitation will define the next frontier of cyber resilience," he added.

Salil Parekh, the CEO of Infosys, also shared his views on advanced AI tools and how people need to approach these advanced technologies.

While speaking during the quarterly results call, Parekh said, “The world is heading into an era where the amount of software required will explode because of AI. But that software must be secure. Every vulnerability discovered is an opportunity for us to provide value.”

Parag Khurana, Country Manager for India, Barracuda Networks said, "The AI capabilities introduced by Anthropic’s Claude Mythos aren’t new, they’re just faster and more scalable. Advances in AI models accelerate AI-enabled threats and compress the time between vulnerability discovery and exploitation. This is a reality many cybersecurity organisations have been preparing for."

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