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

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

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