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IMF warns new AI models risk 'systemic' shock to finance
The latest AI models pose a risk of "correlated failures" that could affect the financial system on a "systemic" level, the IMF has said, urging policymakers to prepare to deal with an "inevitable" breach. The fund warned that the capabilities of new AI models "elevate cyber risk to a potential macro‑financial shock". The IMF's alert underlines how regulators are becoming increasingly alarmed at the potential for Anthropic's Claude Mythos and other AI models developed by US tech companies to threaten the world banking system by exposing weaknesses in lenders' cyber defences. "Advanced AI models can dramatically reduce the time and cost needed to identify and exploit vulnerabilities, raising the likelihood of simultaneously discovering and targeting weaknesses in widely used systems," senior IMF officials wrote in a blog post published on Thursday. "As a result, cyber risk is increasingly about correlated failures that could disrupt financial intermediation, payments and confidence at the systemic level," they said, adding that the recent controlled release of Mythos "underscored how quickly risks are increasing". Anthropic said last month Mythos had "found thousands of high-severity vulnerabilities, including some in every major operating system and web browser". It added: "The fallout -- for economies, public safety and national security -- could be severe." It plans to roll Mythos out gradually, following its release to a small group of 40 organisations that are mostly US-based, allowing them to fix the vulnerabilities it finds. This includes Amazon and Microsoft as well as large banks such as JPMorgan Chase. The limited release has enabled some companies to receive more "patches", technical fixes that close vulnerabilities found by Mythos. But many non-US banks and financial groups have been left without access to the new AI model, raising concerns about uneven levels of protection. Companies that have access to the San Francisco group's new tool told the FT recently that joint action "across the public and private sectors" was essential to support hospitals, banks and utilities vulnerable to the threats it uncovered. In the IMF's first publication about the increased cyber security threat from the latest AI models, it urged policymakers to improve international co-operation. "Cyber risk does not respect borders," it said, adding: "Emerging and developing countries, which often have more severe resource constraints, may be disproportionately exposed to attackers targeting regions with weaker defences." The IMF said: "Attacks become more dangerous when discovery and exploitation scale rapidly, with implications for financial stability." Raising doubts over whether the financial system could withstand a major cyber attack powered by the latest AI technology, the IMF said: "Confidence effects, payment disruptions, liquidity strains and fire‑sale dynamics could follow if multiple institutions are affected simultaneously." With many financial institutions using the same software and shared service providers, the blog said AI models could "create simultaneous vulnerabilities across many institutions". Financial software is "harder to target than open-source infrastructure", the IMF said. But it added that this mitigation was "likely to erode quickly as model training expands, capabilities diffuse and leaks occur". "Defences will inevitably be breached, so resilience must also be a priority, specifically to limit how far incidents spread and ensure rapid recovery," it said. Cyber stress testing, scenario analysis and board-level oversight of cyber risks are "indispensable" to defend the financial system, the IMF said, along with better public-private collaboration on threat intelligence and incident response.
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IMF Warns AI Will Supercharge Cyberattacks on Global Financial System - Decrypt
The IMF urges policymakers to treat cybersecurity as a core financial stability issue, calling for stronger resilience standards, cross-border coordination, and AI-powered defenses to match AI-powered attacks. The International Monetary Fund warned Thursday that artificial intelligence is rapidly amplifying the threat of cyberattacks against the global financial system, potentially turning localized breaches into economy-rattling shocks that could shake markets, freeze payments, and erode confidence in banks worldwide. In a new blog post, IMF economists pointed to the controlled release by Anthropic of the advanced AI model Claude Mythos Preview as a stark illustration of the accelerating threat. The model was found capable of identifying and exploiting vulnerabilities across every major operating system and web browser -- even in the hands of non-experts. The findings underscore a troubling new reality for financial regulators: The barrier to launching a sophisticated cyberattack is falling fast. "This foreshadows how fast‑moving, AI‑driven cyber risks could destabilize the financial system if not managed carefully," the IMF wrote, "and why authorities must focus on building resilience through supervision and coordination -- rather than treating these developments as purely technical or operational issues." The IMF cautioned that AI may further concentrate risk across the financial system, with a single exploited weakness capable of rippling across many institutions simultaneously. Heavy reliance on a small number of cloud providers, software platforms, and AI models means one successful attack could trigger cascading failures. The fund said such scenarios could elevate cyber incidents from operational headaches to what it described as potential macro-financial shocks -- setting off confidence crises, liquidity strains, and fire-sale dynamics across markets. Yet the IMF was careful to note that AI is also part of the solution. As attackers increasingly operate at machine speed, financial institutions are deploying AI-assisted tools of their own to detect threats, prevent fraud, and accelerate incident response. The geopolitical dimension of the threat loomed large in the fund's analysis. Cyber risk does not respect national borders, and inconsistent oversight across countries could weaken the globally interconnected financial system. Emerging economies, often constrained by limited resources, may face disproportionate exposure. The IMF urged policymakers to treat cybersecurity not as a technical or operational matter but as a core financial stability concern -- prioritizing resilience standards, systemic supervision, and international coordination to contain breaches before they spread. Users on Myriad -- a prediction market platform operated by Decrypt's parent company, Dastan -- don't expect Anthropic to publicly release the powerful Claude Mythos model by June 30, penciling in a 17.5% chance as of this writing.
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IMF warns of 'inevitable' AI-powered threats to global financial system
Washington (United States) (AFP) - The International Monetary Fund (IMF) warned on Thursday of the risks to global financial stability posed by cyberattacks powered by advanced artificial intelligence tools, calling for greater international cooperation on the issue. "IMF analysis suggests that extreme cyber-incident losses could trigger funding strains, raise solvency concerns, and disrupt broader markets," the lender warned in a new report. The study's authors highlighted the risks posed by the highly interconnected nature of the global financial system, with advanced AI models able to "dramatically reduce" the time and cost of exploiting vulnerabilities. The warning comes weeks after AI company Anthropic cautioned that its yet-to-be-released "Mythos" model was incredibly adept at finding and exploiting such weaknesses. The model was particularly efficient at identifying vulnerabilities that developers and users had been previously unaware of. In the hands of hackers, such so-called "zero-day" vulnerabilities are considered particularly dangerous. On Wednesday, White House economic adviser Kevin Hassett told Fox News that an "all-government" and private sector effort was being made to test the model and ensure it does not cause harm to US businesses or government. A day earlier, the US government announced a policy shift in which it would have access to tech giants' new AI models to evaluate them before they are released. The IMF warned that emerging and developing countries, "which often have more severe resource constraints, may be disproportionately exposed to attackers targeting regions with weaker defenses." The risks, the authors said, were systemic, cut across sectors and came with the threat of contagion, with the reliance on a small number of platforms and cloud providers likely to increase "the impact of any single exploited weakness." "Defenses will inevitably be breached, so resilience must also be a priority, specifically to limit how far incidents spread and ensure rapid recovery," the report said. IMF chief Kristalina Georgieva warned last month that the global financial system was not ready for the cybersecurity threats posed by AI. "We are very keen to see more attention to the guardrails that are necessary to protect financial stability in a world of AI," she told CBS News, seeking global collaboration on the issue.
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IMF Recommends New Resilience Standards to Counter AI Cyberattacks | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Because attacks are becoming faster, automated and more sophisticated, the existing cybersecurity measures must be expanded and sharpened, according to the post. "Policymakers should prioritize robust resilience standards, supervision focused on systemic transmission channels, and close public-private collaboration on threat intelligence and incident response," the IMF said. The rapidly growing threat posed by AI is highlighted by Anthropic's Mythos, which enables even non-experts to find and exploit vulnerabilities in operating systems and web browsers. With tools such as Mythos, attackers can find and exploit vulnerabilities faster than defenders can patch and remediate them. This poses a threat to financial stability because attacks can scale across companies and industries. The financial, energy, telecommunications and public services sectors share digital infrastructure, so one vulnerability can have a widespread impact. While access to advanced AI cyber capabilities is restricted, they're unlikely to remain contained as model training expands, capabilities diffuse and leaks occur. "These features elevate cyber risk to a potential macroeconomic shock," the IMF said in the post. "Confidence effects, payment disruptions, liquidity strains and fire-sale dynamics could follow if multiple institutions are affected simultaneously." The IMF recommends in the post that financial institutions continue to invest in AI tools to combat this threat; that supervisors assess whether these institutions are investing in integration, governance and human oversight of those tools; and that supervisors make resilience a priority so that when defenses are breached, defenders are ready to limit the incident's spread and ensure rapid recovery. "As AI reshapes the cyber landscape, the central question for authorities is whether the financial system can continue to function under severe stress," the IMF said in the post. "Answering that question requires putting systemic risk -- and the tools to manage it -- at the center of the AI-cyber conversation." It was reported in April that a top IMF official said AI can be used for good or bad and that organizations must remain on the frontier of these threats. U.S. Treasury Secretary Scott Bessent told Fox News Sunday (May 3) that American banks are working to safeguard against AI-related cyberthreats. "What we've had in the past month was a step change in the power of one large language model, but we're going to see it from the other AI companies, and it's important that the U.S. stays ahead here," Bessent said.
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IMF Warns That Evolving AI Threat Could Upend Financial Markets
Advances in artificial-intelligence can strengthen markets' defense against cyber threats but the technology now has the capacity to cause a macro-financial shock too, the IMF warns. The International Monetary Fund's analysis suggests that extreme losses caused by a cyber incident could trigger funding strains, raise solvency concerns and disrupt broader markets. That adds to the chorus of concerns raised by authorities in the U.S., EU and elsewhere about the dangers of AI tools capable of carrying out cyberattacks. Earlier this week The Wall Street Journal reported that Vice President JD Vance expressed concerns about the AI cyber threat on a call with the heads of the biggest tech firms. Senior security officials from more than a dozen states have also expressed similar worries to AI companies. Australian monetary authorities have said they are keeping a close eye on AI threats, while officials in Japan plan to establish a framework to defend against cyber risks. The IMF said that the recent release of Anthropic's Claude Mythos model underscores how fast risks are rising. "Mythos could find and exploit vulnerabilities in every major operating system and web browser--even when used by non-experts," it said, foreshadowing how AI-driven cyber risks could destabilize the financial system if not managed carefully. Such powerful models give attackers the advantage over defenders because it is faster to find weak spots than it is to patch and fix them, the fund said. "The recent launch of Claude Mythos has created elevated risks around cybersecurity initiatives," Wedbush analysts said in a recent note. In a financial system built on common software and shared service providers, AI-assisted attacks can propagate across sectors like energy, telecommunications and public services that rely on the same infrastructure, the IMF said. It called for existing cybersecurity measures to be sharpened to adapt to the new reality of faster, automated, and increasingly sophisticated attacks. For now, there are mitigating factors like the fact that advanced AI cyber capabilities are not yet widely available. But these buffers are likely to erode quickly as model training expands, and temporary containment is unlikely to be a worthy substitute for durable defenses, the IMF said. Write to Fabiana Negrin Ochoa at [email protected] and Kimberley Kao at [email protected]
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Anthropic's Claude Mythos can trigger cybersecurity risks, IMF warns
The IMF wants countries and companies to work together on stronger cybersecurity and AI defence systems. Claude Mythos was introduced recently by Anthropic, but unlike the other models that are available to the general public, the company announced that it would not be available to the general public because of the risks attached to its capabilities. Moreover, Anthropic also claimed that Mythos could detect cybersecurity flaws across software systems at a scale beyond human experts. Now, the International Monetary Fund (IMF) has added to the growing concern, as they said that advanced AI tools like Mythos could create serious risks for the global financial system if they are misused. The organisation believes such systems may help attackers find and exploit weaknesses faster than banks, governments and companies can respond with fixes or protection measures in place. The IMF's warning focuses mainly on the speed and scale at which AI-driven cyberattacks could happen. According to the organisation, tools like Claude Mythos can reduce the time and cost needed to discover security loopholes. This means cybercriminals may no longer need months of planning to launch complex attacks. Alternatively, AI technologies could point out the weak points in no time, thus assisting hackers in exploiting them before companies realise they have any problem at all. Also read: Want a software job at Google? AI could soon help you during interviews, here is how The concern becomes even bigger because many banks and financial institutions use similar digital systems. If hackers discover one major weakness, the same attack could spread across several organisations at once. The IMF described this possibility as 'correlated failures', where disruptions hit payment networks, customer accounts and financial services on a large scale. Anthropic has said Claude Mythos is currently restricted to around 40 organisations through its Project Glasswing programme. Reports suggest firms such as Amazon, Google and Apple have access to the model. However, many governments and financial institutions outside the United States reportedly do not. This has triggered fresh debate around unequal access to advanced cybersecurity tools. Countries including India, Canada and several European Union members are reportedly seeking access to strengthen their own digital defence systems. The IMF warned that if only a small group of organisations can use such technology, global protection levels may become uneven. Also read: Samsung Galaxy S25 Edge now available for lowest price ever on Flipkart during summer sale The IMF is now also urging countries and financial institutions to work together more closely. It has called for stronger international cybersecurity rules, better coordination and AI-based defence systems to prepare for future threats that could spread across sectors beyond banking, including telecom networks, energy systems and public services.
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The International Monetary Fund has issued a stark warning that advanced AI models like Anthropic's Claude Mythos could cause correlated failures across the global financial system. The IMF urges policymakers to prepare for inevitable breaches, calling cyber risk a potential macro-financial shock that could disrupt payments, trigger liquidity strains, and erode confidence in banks worldwide.
The International Monetary Fund has issued a critical warning that the latest AI models pose an unprecedented threat to the global financial system, with the potential to cause "correlated failures" that could affect financial stability at a systemic level
1
. In its first major publication addressing the heightened cybersecurity threat from advanced AI, the IMF urged policymakers to prepare for what it described as an "inevitable" breach, emphasizing that the capabilities of new models "elevate cyber risk to a potential macro-financial shock"1
.
Source: Digit
Senior IMF officials wrote in a blog post published Thursday that advanced AI models can "dramatically reduce the time and cost needed to identify and exploit vulnerabilities, raising the likelihood of simultaneously discovering and targeting weaknesses in widely used systems"
1
. The fund's analysis suggests that extreme cyber-incident losses could trigger funding strains, raise solvency concerns, and disrupt broader markets3
.The IMF specifically pointed to the controlled release of Anthropic's Claude Mythos as evidence of how quickly risks are escalating. Anthropic revealed last month that Mythos had "found thousands of high-severity vulnerabilities, including some in every major operating system and web browser"
1
. The model proved capable of identifying and exploiting cyber vulnerabilities even when used by non-experts, marking a troubling shift where the barrier to launching sophisticated AI-powered cyberattacks is falling rapidly2
.
Source: FT
Anthropie plans to roll Mythos out gradually, having initially released it to a small group of 40 organizations that are mostly US-based, including Amazon, Microsoft, and large banks such as JPMorgan Chase
1
. This limited release has enabled some companies to receive more "patches"—technical fixes that close vulnerabilities found by Mythos. However, many non-US banks and financial groups have been left without access to the new AI model, raising concerns about uneven levels of protection across the financial system1
.The IMF cautioned that AI may concentrate systemic risk across the financial system, with many financial institutions relying on the same software and shared service providers, including a small number of cloud providers
2
. This interconnected nature means AI-assisted attacks can propagate across sectors like energy, telecommunications, and public services that rely on the same infrastructure5
. A single exploited weakness could ripple across many institutions simultaneously, potentially setting off confidence crises, payment disruptions, liquidity strains, and fire-sale dynamics across markets2
.
Source: France 24
While financial software is "harder to target than open-source infrastructure," the IMF noted that this mitigation is "likely to erode quickly as model training expands, capabilities diffuse and leaks occur"
1
. The fund emphasized that such powerful models give attackers the advantage over defenders because it is faster to find weak spots than it is to patch and fix them5
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The IMF stressed that "cyber risk does not respect borders" and urged improved international cooperation to address the threat
1
. Emerging and developing countries, which often have more severe resource constraints, may be disproportionately exposed to attackers targeting regions with weaker defenses3
. The geopolitical dimension looms large, with inconsistent oversight across countries potentially weakening the globally interconnected financial system2
.Because attacks are becoming faster, automated, and more sophisticated, policymakers should prioritize robust resilience standards, supervision focused on systemic transmission channels, and close public-private collaboration on threat intelligence and incident response
4
. The IMF recommended that cyber stress testing, scenario analysis, and board-level oversight of cyber risks are "indispensable" to defend the financial system1
.The IMF was careful to note that AI is also part of the solution. As attackers increasingly operate at machine speed, financial institutions are deploying AI-driven defenses of their own to detect threats, prevent fraud, and accelerate incident response
2
. Regulators should assess whether financial institutions are investing adequately in integration, governance, and human oversight of these tools4
.The fund emphasized that "defenses will inevitably be breached, so resilience must also be a priority, specifically to limit how far incidents spread and ensure rapid recovery"
1
. IMF chief Kristalina Georgieva warned last month that the global financial system was not ready for the cybersecurity threats posed by AI, telling CBS News: "We are very keen to see more attention to the guardrails that are necessary to protect financial stability in a world of AI"3
. U.S. Treasury Secretary Scott Bessent told Fox News Sunday that American banks are working to safeguard against AI-related cyberthreats, noting that "we've had in the past month was a step change in the power of one large language model"4
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