Databricks Releases
Databricks blog and Terraform provider releases. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 180 Databricks releases · Updated
- Databricks Blog blogaisecuritydatabricksengineer ·
Databricks Omnigent adds intent-based authorization for AI agents
Databricks Omnigent has introduced intent-based authorization to enhance the security of AI agents. This feature ensures agents only perform actions aligned with their declared purpose, closing a gap in traditional identity-based authorization systems that attackers can exploit through prompt injection. The system requires human approval for sensitive actions and denies unauthorized ones, with intents defined at design time or approved by a human at session start, impacting developers and architects managing AI agents.
feature security - Databricks Blog blogsecuritydatabricksengineer ·
Databricks Omnigent Uses Contextual Policies to Block Slow-Burn Attacks
Databricks Omnigent has introduced stateful contextual policies designed to combat indirect prompt injection and slow-burn attacks. These policies track session risk across multiple actions, blocking outbound data exfiltration attempts that individual action checks would miss. This enhancement aims to protect against sophisticated attacks where malicious actions are disguised as routine operations, affecting users who employ AI agents for data processing and communication.
feature - Databricks Blog blogaisecuritydatabricksengineer ·
Barracuda Managed XDR adds AI-powered natural language log search
Barracuda Managed XDR has integrated Databricks Genie to enable security analysts to query logs using natural language instead of SQL, accelerating threat investigations. This feature is built with row-level security in Unity Catalog to ensure tenant isolation across thousands of customers. The enhancement significantly reduces the time needed for routine investigations and frees up SOC analyst hours.
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About Databricks release tracking on ReleaseBytes
Databricks platform releases, runtime versions and Terraform provider updates each have their own changelog. ReleaseBytes merges them into one feed with plain-English summaries, and its EOL tracker follows Databricks runtime support windows — including the Python and Spark versions each runtime pins.
Frequently asked questions
How often are Databricks release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official Databricks release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of Databricks changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new Databricks releases? ›
Set up a free email or Slack alert filtered to Databricks, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the Databricks release data come from? ›
From the official sources: Databricks blog and Terraform provider releases. Every item links back to the original vendor announcement.