国家级监管机构将前沿AI模型纳入操作风险范畴,与流动性压力、网络攻击并列。日本金融服务局因担忧Anthropic的Mythos模型,即将与三菱日联、三井住友、瑞穗、日本央行及东京证券交易所会晤。核心风险在于,防御性AI可能以机器速度扫描庞大代码库并识别关键漏洞,远超人工黑客逐个发现缺陷的传统模式;而银行依赖的老旧内部软件、支付系统和市场基础设施一旦暴露严重弱点,可能导致交易中断或数据泄露。
Reuters: National lvel regulators now treat frontier AI models as part of operational risk, like liquidity stress, outages, or cyberattacks, because the same tool that helps defenders can also compress the time between discovery and exploitation.
Japan's Financial Services Agency will meet MUFG, SMFG, Mizuho, the Bank of Japan, and the Tokyo Stock Exchange after concerns around Anthropic's Mythos model spread through the financial system.
The basic worry is that a model built for defensive cybersecurity may be strong enough to expose software weaknesses faster than banks, exchanges, and regulators can patch them.
That changes the risk from ordinary hacking, where humans find bugs one by one, to a system where AI can scan huge codebases, spot patterns, and surface critical flaws at machine speed.