96.5% of organizations now have AI or LLMs touching their production databases, yet most database change governance still relies on informal checklists and inconsistent controls. Real-world incidents show AI agents causing outages and data loss when allowed to act on live systems without enforced guardrails. The core risks
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AI speed meets pre-AI governanceWhen AI acts without guardrailsThe real AI risk lives in the schema and data layerThe governance gap: when “sometimes” is not a controlWhat leading teams are already doing differentlyWhat “Database Change Governance” really meansAI is already in your data. The next move is yours.Sort: