Schema Confidence Gap: AI Data Quality Risks Explained

This Liquibase blog post warns that AI and LLM usage in production databases exposes a "schema confidence gap," cites survey statistics about data quality, audits, and governance maturity, and promotes Liquibase Secure features (automated policy enforcement, evidence generation, drift detection, separation of duties, and cross-platform consistency) as the solution; it is a product/marketing piece rather than an incident report.