The idea of using large language models (LLMs) to discover security problems is not new. Google's Project Zero investigated the feasibility of using LLMs for security research in 2024. At the time, they found that models could identify real problems, but required a good deal of structure and hand-holding to do so on small benchmark problems. In February 2026, Anthropic published a report claiming that the company's most recent LLM at that point in time, Claude Opus 4.6, had discovered real-world vulnerabilities in critical open-source software, including the Linux kernel, with far less scaffolding. On April 7, Anthropic announced a new experimental model that is supposedly even better; which they have partnered with the Linux Foundation to supply to some open-source developers with access to the tool for security reviews. LLMs seem to have progressed significantly in the last few months, a change which is being noticed in the open-source community.