Case Study: Arctic Wolf achieves faster AI-powered threat detection with Databricks

A Databricks Case Study

Preview of the Arctic Wolf Case Study

Strengthening Cybersecurity with AI-Powered Threat Detection on Databricks

Arctic Wolf, one of the world’s largest cybersecurity platform and SOC operators, faced growing complexity from massive event volumes, fragmented telemetry, and rising alert fatigue as it worked to protect thousands of customers. By partnering with Databricks and using its lakehouse platform, Arctic Wolf aimed to unify data sources, automate threat detection, and speed investigations without sacrificing trust or transparency.

Databricks helped Arctic Wolf build a governed, scalable data and AI foundation with unified telemetry, GenAI-enabled workflows, and reusable runbooks for analysts and SOC teams. The result was faster threat hunting and incident triage, with human-augmented AI delivering actionable analysis and mitigations in seconds instead of hours, while Unity Catalog improved security, compliance, and auditability across the data estate.


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Arctic Wolf

Justin Lai

Distinguished Data Architect


Databricks

457 Case Studies