Read Restrictions and Catalog Labels: Unifying governance across engines and catalogs
Databricks unifies data governance across engines and catalogs via read restrictions and labels
Databricks announced Read Restrictions and Catalog Labels to extend unified governance across heterogeneous engines and data catalogs. Building on prior work with open table formats and open APIs, this expands fine-grained access control to a broader set of data assets. While relevant to enterprise AI/ML data infrastructure, this is an incremental platform feature rather than a headline AI industry signal.