With this update, Azure Mirrored Databricks Catalog items can now be enabled with OneLake security. Security at the table, column, or row level can be defined directly in each item, allowing access to be controlled at a granular level. This allows security to be defined directly over the data mirrored into OneLake so it can be securely used by downstream sources such as lakehouses, notebooks, or semantic models.
Read on to see what to do in order to make use of this. It is, of course, currently in preview.