DDL vs. DML: Differences and Why They Matter | Liquibase
ID: 4186c479-9030-5344-bbd7-2d9792d3b127
STIX ID: report--4186c479-9030-5344-bbd7-2d9792d3b127
Feed Name: Security Boulevard
This article explains the critical differences between Data Definition Language (DDL) and Data Manipulation Language (DML), highlights operational risks (auto-committed DDL, unscoped DML, TRUNCATE and migration pitfalls), warns about AI-generated SQL increasing the risk of destructive changes, and advocates using Liquibase Secure for automated policy enforcement, changelog versioning, drift detection, targeted rollback, and audit-ready evidence to govern database changes.
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