See how to govern AI agents & third-party risk with Obsidian. Live on Tuesdays. Register

40% of your agents are a critical risk. Read the CISO Playbook for Securing AI Agents

Announcing our Series D to fuel agentic productivity, securely

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

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.‍

Get a demo
Free Trial

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

‍

Free Trial

Related Resources

How Databricks Customers Can Protect Their Data with Obsidian Security

Blog

SaaS Security Shared Responsibility Model: Who’s Responsible for SaaS Security?

Blog

What Is Shadow SaaS?

Blog