A financial institution is developing a generative AI model to detect fraudulent transactions. They are highly concerned about adversarial attacks, where malicious actors might try to subtly alter input data to cause the model to misclassify a fraudulent transaction as legitimate. Implementing robust defenses against such attacks is a key aspect of ensuring security at which stage of the ML lifecycle?