Predicting zero‑days with ML isn’t a pipe dream, but it’s a hard‑core frontier. You need massive, high‑quality data on code, configs, attacker behavior, and a model that can generalize to unseen patterns. If we get the data pipeline right and keep iterating, it could flag risk before a hit. Until then it stays an ambitious goal, not a myth.