BiodynAI is developing mechanistic interpretability tools for foundation models trained on DNA and protein sequences. These biological AIs serve as smaller, cleaner testbeds for techniques that generalize to larger LLMs. This research focuses on biosecurity audits to detect hidden knowledge. Practitioners can use these findings to improve model transparency and safety.