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BLOG-003 · Version 1.0

Why AI Auditing Must Be Continuous

AI systems, data and operating conditions change after deployment. Assurance cannot be a one-off event.

A pre-deployment audit answers whether a system appears ready at one point in time. It cannot guarantee that models, data, prompts, tools, permissions or operating conditions will remain unchanged.

Continuous assurance combines monitoring, periodic review, event-triggered re-verification and recorded corrective action. Material model updates, workflow changes, new data sources and incidents should trigger renewed assessment.

The purpose is not constant bureaucracy. It is to keep the strength of controls proportionate to the consequences of failure.

Revision history

Version 1.0 — 26 July 2026: Initial publication.