Why Security Kills AI Pilots
Most pilots die because nobody baked in access control, data boundaries, or audit trails.
Legal doesn't say "no to AI". Legal says "no to surprises."
What Security Actually Wants
Clear data boundary
What the model can and can't see.
Logged decisions
Why the system answered that way.
Rollback / shutdown path
A clear way to stop it if things go wrong.
What We Deliver By Default
Spend caps and budget alerts
No runaway costs. You set the limit, we enforce it.
Redaction / PII handling
Data that shouldn't leave stays locked down.
Eval loops
Did the model do what it was supposed to do?
Runbook
So an exec can answer: "What happens if this goes wrong?"
How to Get to Yes Internally
1.
Bring Security in at Day 10, not Day 89.
2.
Give them guardrails and auditability language, not "trust us."
3.
Show them the rollback plan.