The First 30 Days of Agentic AI Governance: A Practical Checklist
DataRobot, Wednesday, July 29th, 2026
DataRobot publishes a 30-day checklist for governing agents that can act rather than merely predict.
Every agent deployed expands an organization's blast radius, because a predictive model can produce a bad response while an agent can act on one.
Agents retrieve sensitive data, change systems of record, trigger workflows, and pass errors to other agents. DataRobot argues the governance question has shifted from model quality to the authority an agent holds.
The post provides a practical checklist for the first thirty days, covering inventory, permission scoping, logging, and escalation paths. It is aimed at teams that have already deployed agents without a governance framework in place.