DataRobot AI governance: what production teams should map first

#ai #mlops #governance #datarobot

If your AI governance only covers one managed cloud platform, it probably misses where production risk actually shows up.

The practical move from the article: treat DataRobot unifies AI Governance beyond the Cloud as an operating workflow, not a headline.

Start with:

inventory models, agents, and applications across cloud, private networks, edge, and internal tools
trace source systems, ownership, escalation paths, and automation boundaries
define approval gates before runtime incidents force the issue
track lineage, dashboard signals, runtime behavior, and audit evidence

The pitfall: dashboards without review gates still leave teams proving risk manually.