Cite-or-Abstain AI
Cite-or-Abstain AI is a design pattern where an AI returns an answer only if it can attach a supporting source, and otherwise declines to answer rather than guessing.
Why It Matters
In security reviewsAbstaining instead of guessing keeps unsupported claims out of security submissions and flags gaps where human input or new evidence is needed.
Workflow Context
Where it shows upAppears in automated answer drafting, where unanswerable questions are routed to a person instead of filled with low-confidence text.
Common Mistakes
What to avoid- Treating cite-or-abstain ai as a universal term with no workflow context.
Use this as an editorial checkpoint when the term appears in a buyer review, internal workflow, or vendor evaluation.