Level Up Your Column-level Security: Using IAM Data Governance Tags in BigQuery

Many BigQuery customers rely on policy tags for protecting their sensitive information in BigQuery. Policy tags were the go-to solution for applying column-level access controls, allowing only users with the right permission to view sensitive columns like personally identifiable information (PII). It was a robust and effective system — for its time.

However, data ecosystems have grown in complexity, and the tools we use to help secure them need to evolve with them. New challenges include creating and managing a taxonomy that supports multiple tags across multiple regions and locations, enabling disaster recovery, and integrating with a broad centralized governance strategy.

To help you meet the needs of today’s data ecosystems, we're excited to introduce the preview ofdata governance tagsin BigQuery. Built on Google Cloud's Identity and Access Manager’s (IAM) Resource Manager infrastructure, data governance tags provide a scalable, and robust method to help you manage access controls...

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