Three reminders:
A guest post by Mieke Eoyang is a visiting professor at Carnegie Mellon University’s Institute of Security and Technology (CMIST), and the former Deputy Assistant Secretary of Defense for Cyber Policy.
As frontier AI labs race to release the next generation of models that meet or exceed the capabilities of Anthropic’s Mythos, we need to contend with what these powerful tools mean for the world. These models, whether Anthropic’s Mythos/Fable, Open AI’s GPT 5.6, or Z.ai’s GLM 5.2, the latest generation of models have demonstrated tremendous capability to identify previously unknown cyber vulnerabilities.
Though most of the popular focus has been on new hacking vectors, these models also give developers and manufacturers a way to address their tech debt through an avalanche of vulnerability identification and patching. On the other side of the “Patch Apocalypse”, Mythos-class models should change the way we think about cyber risk from Chinese-made tech products, and supply chain risk generally.
The conventional wisdom is that Chinese- made technology products pose a higher national security risk. The fears break down into two scenarios: a) the Chinese…
