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Exclusive-Banking Watchdogs Ramp up AI Scrutiny as Stability Fears Mount, Sources Say
Regulators are asking banks how they control autonomous AI systems and recover from cyberattacks as adoption outpaces safeguards, sources said.
- Banking regulators, including the Fed and the European Central Bank, are intensifying scrutiny on AI risks, quizzing lenders about advanced models and potential vulnerabilities to cyberattacks and rogue agents.
- Recent hacks on South Korean banks involving Chinese-developed AI agents have heightened fears that rapid AI adoption is outpacing current controls, potentially destabilizing global financial markets.
- The ECB set an end-October deadline for lenders to produce counter-threat plans, while British supervisors are encouraging major banks to implement independent "bare metal" recovery systems that operate separately from primary tech infrastructure.
- "To protect against attacks, rapid recovery matters as much as prevention," said Sukand Ramachandran, managing director at BCG, warning that without clean data copies, attacks could lock customers out of accounts and disrupt payments.
- Executives at large European banks worry about major market damage "within six months," prompting supervisors to press firms to map AI dependencies and ensure they can restart systems in a crisis.
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Banking regulators step up scrutiny of AI risks
Banking regulators are stepping up efforts to contain growing AI risks, six people familiar with the matter said, with some pointing to the potential for cyberattacks on banks or rogue agents undermining global financial stability. The regulatory scrutiny, fresh details of which are reported here for the first time, reflects growing recognition that advances in […]
·Nicosia, Cyprus
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The Federal Reserve, OCC and IDFC intensify their consultations on the use of artificial intelligence in U.S. banks. The review focuses on cybersecurity, autonomous agents, external suppliers, and the ability to stop a system if its decisions exceed expectations.
Coverage Details
Total News Sources11
Leaning Left0Leaning Right4Center3Last UpdatedBias Distribution57% Right
Bias Distribution
- 57% of the sources lean Right
57% Right
C 43%
R 57%
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