German banks examine risks of Anthropic's Mythos with authorities


FILE PHOTO: Anthropic logo is seen in this illustration taken March 1, 2026. REUTERS/Dado Ruvic/File Photo

FRANKFURT, April 16 (Reuters) - ⁠German banks and national authorities are examining risks around Anthropic's ⁠new artificial intelligence model, an official said on Thursday, amid concerns ‌that it could fuel cyberattacks.

Kolja Gabriel, a member of the executive board at the German Banking Association, told Reuters that the group was consulting with cyber experts at its ​member banks as well as Germany's finance ministry ⁠and other authorities.

Anthropic's Mythos is ⁠seen by cybersecurity experts as posing significant challenges to the banking sector and ⁠its ‌legacy technology systems, raising alarm bells among regulators in Britain and the United States.

"Mythos is being used in a controlled manner ⁠by IT security firms to close potential vulnerabilities as ​quickly as possible. ‌We expect a series of software updates shortly and are closely ⁠monitoring developments," Gabriel, ​who is responsible for technology and innovation, said in an emailed statement.

The talks also involve the Bundesbank and Germany's financial watchdog BaFin.

The finance ministry declined to ⁠comment, while the central bank did not ​immediately respond to a requestfor comment.

BaFin said that there are regular exchanges with relevant national, European and international stakeholders.

"Financial firms must be prepared for the possibility ⁠that vulnerabilities could be discovered in the near future, which would then need to be addressed promptly and quickly," BaFin said in a statement.

Reuters reported on Thursday that European Central Bank supervisors are set to quiz bankers ​about the risks of Mythos.

Anthropic has said its ⁠current iteration, Claude Mythos Preview, will not be made generally available and has ​instead announced Project Glasswing.

It invited major tech ‌companies, cybersecurity vendors and JPMorgan Chase, along ​with several dozen other organizations, to privately evaluate this model and prepare defences accordingly.

(Reporting by Tom Sims; Editing by Alexander Smith)

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