Something unusual just happened behind closed doors, and it didn’t start with markets. It started with code. Senior officials quietly brought in leaders from five of the largest U.S. banks, institutions overseeing roughly $9 trillion in assets, for urgent discussions around a new class of AI-driven risk. At the center of it is what’s being referred to as the “mythos” model from Anthropic. The concern is not a rogue system, but a capability shift. These models can now map digital vulnerabilities across complex infrastructure at a speed that compresses the entire cybersecurity timeline. What once took months of elite human effort can now surface in hours. From a Macro Sift perspective, mythos is less about narrative and more about exposure. It represents a transition where AI systems like Claude begin to function as large-scale auditors of the digital world. Financial systems, legacy codebases, and deeply interconnected platforms are no longer opaque. They are becoming legible to machin...