The digital economy has led to a U.S. trade surplus in services on the order of around 1% of gross domestic product. Yet recent advances in artificial intelligence have exposed new vulnerabilities that place every cyber system at risk of disruption. Cryptography has been crucial to protecting cyber systems. Using hashing or encryption, passwords can be protected, which has historically kept cyber systems safe from intruders. More recently, quantum computing has been viewed as a threat to shatter cyber system security, given its ability to unlock such systems in a reasonable amount of computing time. This has pushed the discovery of quantum-ready cryptography — cryptography that even quantum computers cannot break. This traditional model for protecting cyber systems is akin to installing an impenetrable lock on a house door to keep criminals from entering. AI systems that now exist effectively allow such people to enter the house through other means, without touching the house door that had become the focal point of protection. Enter Claude Mythos, a set of large language models created by Anthropic that can uncover cyber system security weak spots and even provide recommendations for fixes. Such vulnerabilities can let password protections be circumvented, or structural components of software code be identified that allows bad actors to sidestep cybersecurity protections, accessing data and other proprietary information. To date, Anthropic has not shared Claude Mythos publicly, but rather with large digital companies like Microsoft, Apple and Amazon, whose business models rely on robust cybersecurity. This was very responsible of Anthropic, but it does not change the underlying reality: The mere fact that AI systems have been created to penetrate cyber systems and circumvent security protections means that such systems will eventually be created by less honorable people and entities and used for nefarious purposes. This is why cyber