Picture an electron: you never know exactly where it is, only the cloud of places it probably is. That intuition turns out to be the working principle behind the encryption built to survive quantum computers. This is a hands-on tutorial. Run the math in your browser, watch it break, watch it hold, then use the same lab to see the two ways a patient record can be made safe: destroyed for good, or disguised and restored.
Pillar 2 told you to ground a model in your own verified data. But to do that, you have to give the model your data — and that opens a different risk. When people ask whether an AI is safe, the part actually in your control is simpler than the model: where does your data go, who can see it, and is it allowed to be there? That's not a question about the model. It's a deployment decision — cloud, local, or a deliberate hybrid — and it's the one place where a choice made up front closes the risk almost entirely.