A new report focuses on making protein language models (pLMs) safer and more transparent as they become embedded in protein design workflows. The piece outlines how current pLM capabilities—sequence prediction and design—still leave gaps around interpretability and verification, prompting calls for clearer model behavior and lab-facing controls.