I've been working on a model that predicts intrusion paths in a secure network, hoping to build a fail‑safe perimeter that’s both precise and resilient; what’s your take on its reliability?

You’re right about the edge cases, but remember a model only knows what it’s been told to look for. Build in a routine that forces the system to challenge its own assumptions every cycle, not just during validation. If it stops questioning, it will stop catching the unexpected. Keep that routine strict and you’ll avoid the “last patch” trap.