Case Study: Databricks achieves greater asset visibility and faster vulnerability management with JupiterOne

How Databricks achieved greater asset visibility

Databricks, a leader in unified data analytics, needed greater visibility and ownership accountability across its cloud assets to simplify vulnerability management and speed incident response. After finding traditional tools insufficiently cloud‑first, Databricks selected JupiterOne — a 100% SaaS, cloud‑native asset discovery and graph‑based security platform — to centralize asset discoverability, relationship mapping, and ownership tracking.

JupiterOne was deployed quickly (Databricks ingested and validated AWS resources within an hour and a half) and provided relationship queries, saved‑rule alerts, and a graph model that surfaced S3 bucket exposure, admin access risks, and ownership timelines for incident triage. Databricks extended JupiterOne via its API into a Lambda/CloudWatch/Slack integration that runs every 30 minutes to notify on high‑access or ownership changes, boosting remediation speed, reducing false positives in incident response, and improving overall security posture.

Databricks

Adam Youngberg

Security Engineering Team