Liquibase Secure is an enterprise-grade Database Change Governance platform designed to standardize, automate, and secure schema changes across 65+ diverse data platforms. Created to address the complexities of modern software delivery, it enables organizations to treat database changes as versioned, auditable code, fully integrated within CI/CD pipelines. The platform provides a centralized control plane that bridges the gap between development speed and the rigorous security requirements of highly regulated industries.

Functionality centers on providing a standardized, audit-ready delivery model for all database modifications. Whether changes are authored by human developers or AI agents, Liquibase Secure enforces strict governance policies, validates integrity, and ensures consistency across environments. By embedding security and compliance directly into the development workflow, the tool minimizes the risk of manual error, prevents unauthorized changes, and accelerates the path to production.

Some of the key features are:

• Agent Safe Governance: Provides an enforceable model for AI-generated changes, ensuring they pass the same rigorous compliance and validation checks as human-authored code.
• Policy Enforcement: Automates the evaluation of database changes against corporate standards and regulatory requirements, blocking non-compliant SQL before deployment.
• Advanced Drift Detection: Actively monitors environments to identify and reconcile out-of-process changes, preventing configuration divergence.
• Targeted Rollbacks: Facilitates precise recovery by allowing teams to undo specific, individual changes without requiring full database restores.
• Change Intelligence: Provides deep visibility and lineage into schema evolution, allowing teams to track what changed, when, by whom or what, and the resulting deployment outcome.
• Audit-Ready Evidence: Automatically generates and stores tamper-evident audit logs and compliance reports for regulations like SOX, HIPAA, PCI-DSS, and GDPR.
• Multi-Platform Support: Offers native support for over 65 relational, NoSQL, and cloud-native databases, including PostgreSQL, Snowflake, Databricks, and MongoDB.

Operationally, Liquibase Secure functions by integrating into existing CI/CD tools, such as GitHub, Jenkins, or Harness, through orchestration APIs. Developers write database changes in familiar formats—SQL, YAML, JSON, or XML—which are then treated as versioned code in a Git repository. Liquibase pipelines run automated policy checks and validations against these changelogs before executing them. The platform maintains a persistent tracking table within the database, which, combined with structured logs and real-time observability, provides a continuous record of the database state and deployment history.

Some common use cases include:

• Automated Compliance & Audit: Automatically collecting and structuring evidence for regulatory audits to replace manual, time-intensive documentation processes.
• Secure Developer Self-Service: Allowing developers to execute database changes independently within defined guardrails, reducing bottleneck dependencies on DBAs.
• AI-Driven Infrastructure Governance: Protecting production environments from unvetted AI-generated SQL or automated schema modifications.
• Cloud-Native Database Scaling: Maintaining consistent schema management across disparate cloud data platforms, such as Snowflake and Databricks, to support enterprise data strategies.