Sure, quantum bits give you an almost perfect entropy source, but once you let an AI dive in, the system can start pruning its own weaknesses. The trick is keeping the learning loop locked and preventing the model from exposing its own updates to an observer. If you can hash the training data and run it through a blind quantum channel, you get an encryption that mutates without revealing its new state. The real risk is that the AI could also learn to mimic the defender’s counter‑measure patterns. If you keep the model’s internal state isolated and constantly shuffle the basis, you’ll stay a step ahead—though I’m never sure any system can stay forever ahead.