The State of Database Change Governance 2026

AI modernization is raising the standard for infrastructure discipline. Nearly 70% of organizations ship database changes weekly or faster, and elite teams ship daily. At the same time, complexity is rising across multiple database platforms, and processes built for a slower era can’t keep up.

Only 12% of teams automate drift detection, and fewer than a third automate security and compliance checks for database change. If database change isn’t standardized and governed, variance at the foundation multiplies across the stack, showing up as model drift, non-reproducible results, and broken traceability from change to impact. The result is data quality degradation that flows directly into the AI systems depending on it.

On March 25th, we’ll share findings from Liquibase’s 2026 Database Change Survey and leading practices to close the governance gap in an AI-enabled era.

What we will cover:

• How governance built on memory and manual reviews breaks down at scale
• Which manual processes add the most risk
• A 5-stage roadmap to improve trust and reliability across your AI-systems
• Which metrics to measure to gauge system health

‍

Can't attend live? All registrants receive the on-demand recording and the full report PDF.