Cybersecurity risks from Mythos-class AI and a framework of safeguards for the financial sector
An independent assessment prepared for the consideration of the Hon'ble Union Finance Minister.
On 8 April 2026, Anthropic PBC released Claude Mythos Preview. In published evaluation across 198 manually-reviewed vulnerability findings, the model agreed with expert human severity assessment in 89 per cent of cases. Across ten fully-patched targets in internal Anthropic testing, the model achieved complete control-flow hijack. The implications for Indian banking are direct: UPI processed 21 billion transactions worth INR 27 lakh crore in December 2025 alone, the system depends on shared technology service providers serving up to 300 cooperative banks each, and the prevailing time-to-patch is measured in weeks. The window between vulnerability discovery and weaponisation has collapsed from months to hours. This paper sets out a seven-pillar framework of safeguards: indicative cost INR 4,200 to 5,800 crore over three years; equivalent to 3.5 to 4.8 per cent of the INR 1.2 lakh crore that the Indian Cyber Crime Coordination Centre estimates Indians lost to cyber fraud in 2025.
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Request paper · HN-RP-009.pdfHyperNext Research. (04 June 2026). Frontier AI and the Indian Banking System: Cybersecurity risks from Mythos-class AI and a framework of safeguards for the financial sector. HyperNext Data Center Limited. HN-RP-009. Retrieved from https://www.hypernxt.com/research/hn-rp-009
@techreport{hypernext_hn_rp_009,
title = {Frontier AI and the Indian Banking System: Cybersecurity risks from Mythos-class AI and a framework of safeguards for the financial sector},
author = {HyperNext Research},
institution = {HyperNext Data Center Limited},
number = {HN-RP-009},
year = {2026},
url = {https://www.hypernxt.com/research/hn-rp-009}
}