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Britain's bank regulator expects 'quite significant disruption' from latest AI models
LONDON, May 11 (Reuters) - The head of the Bank of England's regulatory arm on Wednesday said it was "reasonable to expect quite significant disruption" to financial services from the latest AI models such as Anthropic's Mythos and ChatGPT 5.5 Instant. Sam Woods, chief executive of the â Prudential Regulation Authority, cited such models' growing ability to identify vulnerabilities, and the requirement for banks to patch these - "the main driver of outages" in the financial system - at speed. Woods said firms would need to step up basic cyber hygiene and respond faster, with â AI-driven defences becoming more important. He was speaking at UK Finance's Growth Delivery Summit. Anthropic rolled out its latest AI model, Mythos, to a â limited number of businesses in April. It is viewed by cybersecurity experts as posing challenges to â the banking industry and its legacy technology systems, although a BoE co-led cyber â group determined last month that the sector was prepared for those challenges. Reporting by Phoebe Seers; Editing by Kevin Liffey and Alex Richardson Our Standards: The Thomson Reuters Trust Principles., opens new tab
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BoE regulator warns of disruption from latest AI models By Investing.com
Investing.com -- The Bank of England's regulatory arm warned Wednesday that the latest artificial intelligence models could cause significant disruption to financial services. Sam Woods, chief executive of the Prudential Regulation Authority, said it was reasonable to expect considerable upheaval from AI systems such as Anthropic's Mythos and ChatGPT 5.5 Instant. Woods highlighted the growing capability of these models to identify system vulnerabilities. He noted that banks must patch these weaknesses quickly, describing patching as the main driver of outages in the financial system. The regulatory chief said financial firms would need to improve basic cyber hygiene and respond more rapidly to threats. He added that AI-driven defenses were becoming increasingly important. Woods made the remarks at UK Finance's Growth Delivery Summit. Anthropic released its latest AI model, Mythos, to a limited number of businesses in April. Cybersecurity experts view the technology as presenting challenges to the banking industry and its legacy technology systems. A Bank of England co-led cyber group determined last month that the sector was prepared for those challenges. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Britain's bank regulator expects 'quite significant disruption' from latest AI models
LONDON, May 11 (Reuters) - The head of the Bank of England's regulatory arm on Wednesday said it was "reasonable to expect quite significant disruption" to financial services from the latest AI models such as Anthropic's Mythos and ChatGPT 5.5 Instant. Sam Woods, chief executive of the Prudential Regulation Authority, cited such models' growing ability to identify vulnerabilities, and the requirement for banks to patch these - "the main driver of outages" in the financial system - at speed. Woods said firms would need to step up basic cyber hygiene and respond faster, with AI-driven defences becoming more important. He was speaking at UK Finance's Growth Delivery Summit. Anthropic rolled out its latest AI model, Mythos, to a limited number of businesses in April. It is viewed by cybersecurity experts as posing challenges to the banking industry and its legacy technology systems, although a BoE co-led cyber group determined last month that the sector was prepared for those challenges. (Reporting by Phoebe Seers; Editing by Kevin Liffey and Alex Richardson)
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The Bank of England's Prudential Regulation Authority expects significant disruption from latest AI models including Anthropic's Mythos and ChatGPT 5.5 Instant. Chief executive Sam Woods highlights growing concerns about AI's ability to identify system vulnerabilities, forcing banks to patch weaknesses rapidlyâthe main driver of outages in financial systems.
The Bank of England's regulatory arm has issued a stark warning about the potential for significant disruption from latest AI models in financial services. Speaking at UK Finance's Growth Delivery Summit on Wednesday, Sam Woods, chief executive of the Prudential Regulation Authority, stated it was "reasonable to expect quite significant disruption" from advanced AI models such as Anthropic's Mythos and ChatGPT 5.5 Instant
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. The bank regulator's concerns center on these AI models' rapidly expanding capabilities to identify systemic vulnerabilities within banking infrastructure, creating urgent challenges for institutions still relying on legacy technology systems.
Source: Reuters
Woods emphasized that the growing capability of these AI models to detect system weaknesses presents a double-edged sword for the banking industry cybersecurity landscape
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. While AI can enhance defensive capabilities, it simultaneously empowers malicious actors to identify vulnerabilities with unprecedented speed and precision. The requirement for banks to patch these weaknesses quickly has become critical, as Woods identified patching weaknesses as "the main driver of outages" in the financial system3
. This creates a challenging dynamic where financial institutions must balance rapid response times against the risk of preventing outages caused by hasty implementation.Anthhropic's Mythos, which the company rolled out to a limited number of businesses in April, has drawn particular attention from cybersecurity experts as posing unique challenges to the banking industry. The model's advanced capabilities highlight the tension between innovation and security in financial services. Despite these concerns, a Bank of England co-led cyber group determined last month that the sector was prepared for the challenges presented by these next-generation AI systems
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. However, Woods' public warning suggests that preparation alone may not be sufficient as AI models continue to advance.Related Stories
The Prudential Regulation Authority chief stressed that financial firms would need to step up basic cyber hygiene practices and respond faster to emerging threats
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. Woods highlighted that AI-driven defenses are becoming increasingly important as institutions race to counter AI-powered threat detection capabilities. This creates an arms race scenario where banks must deploy sophisticated AI systems to defend against the very same technology being used to expose their weaknesses. The short-term implications involve substantial investments in both technology and personnel training, while long-term considerations point toward a fundamental restructuring of how financial institutions approach cybersecurity. Financial services leaders should monitor how quickly these AI models proliferate beyond limited business deployments and watch for regulatory guidance on mandatory AI defense standards.Summarized by
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