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databricks Platform · Updated Aug 3, 2026

Serverless compute access control is now generally available

Serverless compute access control is now generally available.

What it does

Serverless compute access control is now generally available. Workspace admins can govern who runs serverless workloads through two built in serverless compute objects: Default Interactive Compute (governs access to notebooks and Databricks Connect) and Default Automated Compute (governs access to jobs and Spark Declarative Pipelines on Lakeflow). All workspace users have Can Use on both objects by default, so existing workloads continue to run without changes.

Why it matters

Workspace admins can govern who runs serverless workloads through two built in serverless compute objects: Default Interactive Compute (governs access to notebooks and Databricks Connect) and Default Automated Compute (governs access to jobs and Spark Declarative Pipelines on Lakeflow).

Architecture
Databricks Platform → Platform
In short

Serverless compute access control is now generally available. Workspace admins can govern who runs serverless workloads through two built in serverless compute objects: Default Interactive Compute (governs access to notebooks and Databricks Connect) and…

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Key takeaway
Serverless compute access control is now generally available.
2026-08-03-serverless-compute-access-control-is-now-generally-available Generated by the Databricks Updates Agent · browse all updates