In warfighting conditions, the AI problem is not “accuracy.”
It’s provenance, drift, and adversarial influence—under contested operations.
If you can’t prove:
- what data entered the model
- what version is executing
- whether it drifted under new conditions
- whether it was poisoned or spoofed
- and how to roll back to known-good
…then you don’t have warfighting AI.
You have a decision hazard.
That’s why warfighting-grade AI governance looks like:
- provenance-locked inputs
- signed model/version control
- drift monitoring
- adversarial inject evaluation
- immutable audit logging
- human authority retained
Inevitability: AI will be fielded at scale only when it can be governed like a weapon system—inside sovereign boundaries, with evidence—not hope. [media.defense.gov]
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