AI Can Create Database Changes. Who Governs What Ships?

AI coding assistants like Cursor, Claude, and GitHub Copilot are changing how developers create database changes. SQL, schema updates, changelogs, rollback logic, and DDL can now be generated in seconds. But faster authoring does not make database change safer.

As AI-assisted development becomes part of everyday delivery, enterprises need a governed path from authoring to production. Join Liquibase on Wednesday, June 24 to learn how Liquibase Secure 5.2 introduces Agent Safe Governance for AI-generated database change. We’ll show how the Liquibase MCP server connects AI-assisted workflows to governed database change management, and how Change Intelligence, schema lineage, policy checks, drift detection, and audit-ready evidence help teams validate, track, and govern every change, human or AI, before and after production.

What You'll Learn:

• Why AI-generated database change creates a new governance challenge for enterprise teams
• How Agent Safe Governance helps connect AI-assisted authoring to approved production workflows
• How the Liquibase MCP server supports governed database change creation
• How Change Intelligence preserves schema lineage and evidence across the change lifecycle
• How policy checks and drift detection help reduce risk before and after production
• What’s new in Liquibase Secure 5.2, including expanded support for Teradata, MongoDB, and DynamoDB