Most healthcare AI governance programs are built around a single category of risk: the tools the organization deliberately purchased. However, when organizations take a hard look at where AI is actually operating inside their environment, the tools they knowingly procured are typically the smallest piece of the picture.
Limited visibility creates regulatory, operational, and data privacy risks. Organizations cannot effectively validate, monitor, or govern AI systems they have not identified. Effective governance starts by auditing all AI tools currently in use, including hidden or unauthorized tools, then establishing risk-based oversight.
