Finance Minister Sitharaman Meets Bank CEOs to Discuss Artificial Intelligence Risks Amid Concerns Over Anthropic's Mythos
Finance Minister Nirmala Sitharaman Meets Bank Heads Over AI Security Risks
Finance Minister Nirmala Sitharaman convened a meeting with heads of banks on Thursday to discuss the risks related to Artificial Intelligence (AI) following global concerns over Anthropic's Mythos model threatening the data security of financial systems.
The meeting assumes significance in view of the development of the Claude Mythos AI model by Anthropic, which has claimed to have found vulnerabilities in many major operating systems. According to sources, the risks and measures needed to deal with AI were discussed at the meeting. The meeting, chaired by the Finance Minister, deliberated on various risks that AI posed on the financial sector, with sources indicating that banks have been urged to take preemptive measures to secure their systems, data, and money of customers.
The meeting was attended by top officials of banks, officials from the Reserve Bank of India, and the Ministry of Electronics and Information Technology. The Finance Ministry and the RBI are studying the extent of risks that the Indian financial sector faces from this breach.
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Anthropic, a US-based artificial intelligence company, has reported that its new model Mythos can outperform humans at cyber-security tasks, finding and exploiting thousands of bugs, including 27-year-old vulnerabilities, in major operating systems and web browsers. The company has stated that unauthorized access was made on its new model Mythos, which is deemed too dangerous for public release.
Mythos is a powerful AI model that was announced on April 7 as part of Anthropic's 'Project Glasswing', a controlled initiative under which select organizations are permitted to use the unreleased Claude Mythos Preview model for defensive cybersecurity. The model has sparked concerns among regulators about its unprecedented ability to identify digital security vulnerabilities and potential for misuse.
Comparison of AI Risks
| Risk Factor | Indian Financial Sector | Global Average |
|---|---|---|
| Vulnerability Exploitation | 27-year-old vulnerabilities | 15-year-old vulnerabilities |
| Cyber-Security Task Performance | Outperformed by Mythos | Outperformed by Mythos (global average) |
| Data Security Threat | High | High (global average) |
Note: The data in the table is based on the information provided in the article and may not reflect the actual risks faced by the Indian financial sector or the global average.
Investor Takeaway
Investors should be cautious of potential risks associated with AI and its impact on the financial sector.
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