GLM Team Details Custom Inference Stack and Trusted Access for Cybersecurity Capabilities
The GLM team described building its own inference infrastructure and a trusted access program to manage cybersecurity capabilities discovered in the model. Since October 2025, security partners used GLM to find thousands of vulnerabilities in real-world codebases, and the model also completed an infrastructure task that previously would have taken a team weeks. The team emphasized responsible use of these capabilities amid growing dangers.
Coverage timeline
Hacker Newswhiteros_e
As we develop GLM, the model sometimes exhibits capabilities that surprise us, and even unsettle us. In October 2025, we began researching how to strengthen its cybersecurity capabilities. Our reasoning at the time was straightforward: cybersecurity is a natural extension of coding. A model that can understand complex code should also be able to understand its vulnerabilities. We did not anticipate what would follow. In less than a year, our security partners used GLM to discover thousands of vulnerabilities in real-world codebases. The model began to reshape cybersecurity, while also introducing dangers that had not existed before. To enable responsible use of this capability, we had to design a trusted access program. The most recent moment that shook us came from a more fundamental shift: GLM is increasingly helping build AI itself. We watched the model complete an infrastructure task that would previously have taken a team of experienced infrastructure engineers weeks. When we real