Audit Evidence Automation

Why this matters

Manual evidence collection does not scale. Screenshots, spreadsheets, and chat approvals break down when teams ship frequently across many databases and environments. Automated evidence makes audits faster and day to day operations more reliable.

Common failure modes

• Teams cannot show who approved a high risk change

• Evidence is inconsistent across environments

• Audit prep becomes a recurring fire drill

• Controls are claimed, but enforcement is not verifiable

What good looks like

Every governed change produces an audit ready record that is consistent across dev, test, and production. Evidence is queryable, exportable, and tied directly to the change record.

Evidence in your security and observability stack

Many teams stream change events, policy outcomes, and execution results into their logging and security monitoring stack to support investigations, reporting, and continuous controls monitoring.Liquibase Secure provides structured logs and operational reporting designed to integrate with common observability and SIEM workflows, so database change activity can be monitored alongside the rest of production.

Database Change Governance metrics this pillar improves

• Automated Evidence Coverage (AEC): improves when evidence is captured automatically for a larger portion of changes.

• Automated Control Coverage (ACC): improves when evidence shows controls were enforced consistently.

Implementation approach

1. Standardize what “audit ready” means for your org

1. Capture evidence at execution time, not after the fact

1. Ensure evidence includes policy outcomes, approvals, timestamps, and results

1. Include drift reports as part of the evidence trail

1. Integrate logs and reporting into existing monitoring workflows