SaaS Security for Databricks: Control access, monitor risk, automate compliance

Databricks SaaS integrations expand the attack surface without proper security controls

Security teams lack visibility into every third-party integration, excessive permission, and misconfiguration within Databricks.

Obsidian strengthens the security for applications on Databricks with automated controls that align with compliance standards and industry best practices.

81%

of organizations have sensitive SaaS data exposed

Obsidian Network Data

76%

of current GenAI projects don’t have a security component

IBM Data

55%

of shadow SaaS integrate with core apps

Obsidian Network Data

Access token risks and OAuth blind spots undermine Databricks security posture

Databricks supports growing data and AI demand, but manual oversight can't keep up.

  • No global view of account access, token policies, or cluster controls across workspaces
  • Personal Access Tokens used for programmatic access must be deleted and recreated to change their expiration date, increasing operational risk
  • Disjointed view of OAuth App registry makes it a challenge to monitor third-party integrations including scopes and activity
Obsidian UI displaying Databricks tenant violations by workspace and a summary of application integrations with risk factors, OAuth scopes, and approval status.
Obsidian dashboard showing Databricks-specific security rules, highlighting high-risk issues like non-expiring personal access tokens and workspace admin user accounts.

How Obsidian secures SaaS integrations and sensitive data in Databricks

  • Detect and mitigate risky Personal Access Token usage across all Databricks workspaces
  • Inventory every first and third-party SaaS integration and AI/LLM vendor
  • Automated security mapping to frameworks like Databricks' SAT / DASF, plus NIST and more
  • See every risky data exposure or sensitive third-party dataflow ranked by criticality

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