"“AI-driven cyber risks could destabilise the financial system if not managed carefully,” the IMF warned, as AI cyber attacks risk disrupting payments, cause solvencies and strain liquidity."
"Financial systems' dependence on shared cloud services made the threat of successful cyber attacks all the more worrying, senior IMF officials said in in a blog post, and a single vulnerability could ripple out across many institutions."
"“It’s not just the financial sector at risk. Financial services share ‘digital foundations’ with energy, telecommunications and public sectors, all of which are threatened by the model's rapidly evolving capacities. Using the same infrastructure means that vulnerabilities can be exploited across many industries.”"
"The model could identify and exploit vulnerabilities “even when used by non-experts”, the IMF said. During a speech at Columbia University in April, Bank of England governor Andrew Bailey warned that Anthropic's latest model might “crack the whole cyber risk world open”."
AI-driven cyber risks could destabilize the financial system if not managed carefully. AI-enabled attacks may disrupt payments, affect solvency, and strain liquidity. Shared cloud services increase the danger because a single vulnerability can spread across many institutions. Financial services rely on digital foundations also used by energy, telecommunications, and public sectors, enabling cross-industry exploitation. The risk extends because AI models may identify and exploit vulnerabilities even when used by non-experts. Anthropic’s AI model Mythos raised concerns about large-scale vulnerability identification. Anthropic created Project Glasswing to provide the model to selected critical companies and planned work with governments to defend the US and allies. Regulators assessed risks after British banks gained access.
#ai-cybersecurity #financial-system-risk #cloud-infrastructure-vulnerabilities #cross-sector-digital-dependencies #regulatory-risk-assessment
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