US Treasury Seeks Access to Anthropic's Mythos Model to Study AI Vulnerabilities
The U.S. Treasury is requesting access to Anthropic's advanced Mythos AI model to evaluate potential security vulnerabilities and cyber risks, signaling how governments are treating frontier AI systems as critical infrastructure worthy of serious technical scrutiny and oversight.
Government AI Risk Assessment
The U.S. Treasury is seeking access to Anthropic's Mythos model so officials can study vulnerabilities the system is reportedly capable of exploiting. That is a striking signal about how seriously parts of the U.S. government are taking frontier-model cyber risk.
National Infrastructure Status
Advanced AI models are being treated like national-risk infrastructure rather than ordinary software products. If Treasury and other agencies begin direct technical evaluation of top-tier models, AI oversight could become much more operational and continuous. For labs, that could mean deeper entanglement with the government. For startups in security and compliance, it could create a whole new layer of demand around testing, monitoring, and model governance.
Broader Context
AI is spilling into chips, data centers, banks, statehouses, and even intelligence agencies—forcing decisions that can't be deferred. In the past 24 hours, the narrative sharpened: Big Tech is racing to control inference and infrastructure, governments are stepping closer to the core of frontier models, and cracks are starting to show in security, labor, and real-world deployment. From robots running marathons to regulators worrying about AI probing financial systems, the message is clear—this isn't experimentation anymore. It's deployment at scale, with real consequences.