AI security is a product risk problem first
Treat model features like any other high-blast-radius launch: ownership, abuse cases, and kill switches — before the slide deck.
AI security is a product risk problem first — not a tooling shopping list.
Buying another “AI security” SKU will not save a team that cannot answer: who owns the model in production, what data it can touch, and how you shut it off when it behaves badly.
Start with blast radius
Map the feature like an incident tabletop:
- What can the model do (tools, write access, customer data)?
- What does a confused or malicious user try first?
- What is the kill switch, and who can pull it in under five minutes?
Then pick controls
Prompt filters and scanners matter after ownership and abuse cases are explicit. Architecture before catalog.
For the C-level skim
If AI is in the roadmap, security is a go-to-market risk, not a side quest for the SOC. Fund product security and evaluation the same way you fund reliability for a revenue feature.
Practitioners: write the abuse cases. Leaders: demand the kill switch before the launch party.