Govern AI-Generated Database Change
Cursor, Claude, Copilot, and other AI coding tools can help create SQL, schema updates, changelogs, rollback logic, and DDL in seconds. Liquibase Secure gives enterprises one control plane to validate, track, and govern every database change, human or AI, before and after production across 65+ databases.
.svg){kind=icon}
What is Agent Safe Governance?
Agent Safe Governance is Liquibase’s approach to making that safe for enterprise delivery.
Liquibase Secure connects AI-assisted authoring to governed database delivery through the Liquibase MCP server, policy checks, Change Intelligence, schema lineage, drift detection, rollback controls, and audit-ready evidence. Teams can move faster with AI while keeping database change traceable, reviewable, recoverable, and controlled before and after production.
The Challenge
- AI-assisted development is changing how database changes are created. The problem is that database change carries production risk in a way most code changes do not.
- A single unchecked database change can break an application, corrupt data, disrupt analytics, expose sensitive information, or create an audit gap. And when AI helps create that change, teams need to know exactly what happened, who or what created it, whether it followed policy, how it changed the schema, and whether production still matches the approved path.
- Traditional controls were not built for this. Tickets, manual reviews, disconnected scripts, and after-the-fact audit trails cannot keep pace when AI can create database changes in seconds.
The Result?
How Liquibase Secure Helps
AI authoring
AI can help write the change. Liquibase Secure governs the path to production.
Liquibase Secure Agent Safe Governance Framework
| Agent Safe Requirement | How Liquibase Secure Helps | Liquibase Secure  |
|---|---|---|
| AI-assisted authoring | The Liquibase MCP server connects AI-assisted workflows to governed changelog creation, schema updates, rollback logic, and AI-generated DDL. | .svg){kind=icon} |
| Pre-production validation | Policy checks validate changes before deployment, helping teams block risky operations and enforce enterprise standards. | |
| Schema lineage | Change Intelligence captures how database structures evolve over time, including what changed, who or what created it, where it ran, and whether controls were followed. | |
| Drift detection | Drift detection identifies when environments no longer match the approved database state, catching shadow changes, manual fixes, emergency updates, and out-of-process change. | |
| Audit-ready evidence | Structured evidence shows what changed, when it changed, who or what created it, whether it passed policy, where it ran, and whether the environment remained aligned. | |
| Recovery control | Rollback logic and governed workflows help teams reduce the impact of failed or unsafe database changes. | |
| Broad database coverage | Liquibase Secure supports 65+ databases across relational, NoSQL, cloud, and legacy systems. | |
| Security assurance | CVE transparency and SLA-backed remediation help teams understand exposure and maintain a supported enterprise path. | |
Business Outcomes
Resources to Accelerate Your AI-Modernization Journey
.png)
.svg){kind=icon}
.png)
.png)
FAQ
Agent Safe Governance means AI can help create database changes, but it cannot bypass the controls enterprises require before production. Liquibase Secure validates, tracks, governs, and monitors database change before and after it reaches production.
Agent Safe Governance applies to AI-assisted development workflows, including tools such as Cursor, Claude, GitHub Copilot, and other coding assistants or agentic development tools.
AI assistants may help create SQL, schema updates, Liquibase changelogs, rollback logic, and AI-generated DDL. Liquibase Secure helps route those changes through governed validation, tracking, and deployment workflows.
The Liquibase MCP server connects AI-assisted workflows to Liquibase Secure, helping developers and AI assistants create structured database change artifacts while Liquibase Secure governs the path to production.
Change Intelligence gives teams visibility into the lifecycle of database change. It helps teams see what changed, who or what created it, where it ran, whether controls were followed, how the schema evolved, whether drift exists, and what evidence is available for audit or investigation.
Schema lineage is the record of how database structures evolve over time. It helps teams understand what changed, why it changed, where it changed, and how changes affect applications, data products, analytics, and AI systems.
Liquibase Secure evaluates database changes against the policies and workflows an organization defines. Approved changes can move forward. Risky, non-compliant, or out-of-process changes can be flagged, blocked, or routed for review.
No. Liquibase Secure governs database change whether it is created by a human developer, AI assistant, autonomous agent, CI/CD pipeline, or manual workflow.
No. Liquibase Secure connects to existing workflows and tools. Developers can keep using the tools they prefer while Liquibase Secure provides the governance layer for database change.
Yes. Liquibase Secure supports 65+ databases across relational, NoSQL, cloud, and legacy systems.
