implementing-database-audit-logging

Database audit logging tracks all changes to your tables for regulatory compliance and security monitoring. This skill guides you through four strategies—trigger-based, application-level, Change Data Capture (CDC), and database log parsing—and provides a basic SQL audit table schema tailored to your needs.

Trigger-based auditing captures changes via SQL triggers; application-level logs changes at the code layer; Change Data Capture (CDC) streams data modifications from the database; database log parsing reads the transaction log directly. Each suits different compliance, performance, and infrastructure requirements.

Yes. This skill supports audit logging across relational databases using trigger-based, application-level, CDC, and log parsing methods. It generates a basic audit table schema and helps you select the strategy that fits your database platform and compliance needs.

An audit table records what changed, who made the change, when it occurred, and which table was affected. The basic schema provided captures timestamps, user identifiers, operation types (insert, update, delete), and the modified values for debugging and compliance tracking.

No special tools are required. Database audit logging uses native SQL triggers, application code, or built-in database features like CDC and transaction logs. This skill provides the schema template and strategy guidance to implement auditing with your existing database platform.