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- Anthropic will brief the Financial Stability Board on cyber vulnerabilities identified.
- The Mythos AI model detects old vulnerabilities posing risks to financial systems.
- FSB welcomes engagement with Anthropic; concerns over potential cyberattack risks remain.
BENGALURU — Artificial intelligence startup Anthropic is set to brief the Financial Stability Board on cyber vulnerabilities in the global financial system identified by its latest AI model, Mythos, the Financial Times reported on Monday, citing people familiar with the plan.
The Claude chatbot-maker will discuss the capabilities of its new Mythos Preview AI model with leading finance ministries and central banks from the Financial Stability Board, following a request by Bank of England Governor Andrew Bailey, the Times said.
Bailey chairs the board, a global risk watchdog responsible for coordinating financial rules for G20 economies.
Anthropic did not immediately respond to Reuters' request for comment.
A Financial Stability Board spokesperson said the international body "welcomes engagement with Anthropic and other firms on emerging and frontier risks to global financial stability."
Mythos, announced last month but not yet released, is a cybersecurity model designed to detect decades-old vulnerabilities in web browsers, infrastructure and software, according to Anthropic.
Cybersecurity experts have warned that the system could supercharge more sophisticated cyberattacks, posing a risk to the banking industry, which is reliant on legacy technology systems.
In April, BoE Governor Bailey warned that Mythos could pose major security risks to the cyber world.
"It would be reasonable to think that the events in the Gulf are the most recent challenge to us in this world, until, I think it was last Friday, you wake up to find that Anthropic may have found a way to crack the whole cyber risk world open," Bailey said at an event at Columbia University in New York last month.
"The issue is: to what extent is this new version of the product going to be able to, in a sense, identify vulnerabilities in other systems which can be exploited for cyberattack purposes," Bailey said.
