Scoop: BNY gets access to OpenAI, Anthropic's advanced cyber models

So BNY Mellon, the world's largest custodian bank with $47 trillion in assets, has been quietly handed the keys to both OpenAI's GPT-5.4-Cyber and Anthropic's Mythos, positioning itself as one of the 'few vetted enterprises' deemed worthy of early access to these advanced cyber models. CEO Robin Vince's statement that the labs 'recognize the importance of releasing cyber-capable models to certain institutions early for feedback' is a masterclass in corporate euphemism—translation: we're paying to be guinea pigs for systems that could potentially compromise our entire financial infrastructure if they hallucinate a zero-day. The fact that OpenAI's model is rolling out 'more broadly' than Anthropic's gated offering suggests a delightful race to the bottom in who can market their cyber-prowess to the most lucrative clients fastest, all while maintaining the fiction that this is about 'responsible testing' rather than revenue generation.

This comes just weeks after Anthropic's Project Glasswing managed to find exactly one confirmed CVE, which should inspire tremendous confidence in their cybersecurity capabilities. Now they're handing that same meticulously tested technology to a bank that safeguards nearly half the world's investable assets, because nothing says 'prudent risk management' like deploying barely-vetted AI on systems that, if breached, could trigger global financial contagion. Vince's cheerful admission that this is about 'real-world testing' is the banking equivalent of volunteering your pension fund as crash-test dummy for a self-driving car that's still learning what stop signs look like.

The entire arrangement perfectly encapsulates the regulatory gap: while policymakers are still debating whether to require impact assessments for general-purpose AI, the labs are already conducting live experiments on critical financial infrastructure with exactly zero oversight. BNY gets to boast about being at the cutting edge, the labs get their models stress-tested on someone else's dime and liability, and if anything goes wrong, we'll all get to enjoy the spectacle of Vince explaining to regulators how 'early feedback' somehow led to a multi-trillion-dollar exposure. It's the kind of innovation that makes you wonder if the financial system's resilience has been outsourced to a chatbot that's still figuring out how not to invent facts about historical interest rates.