Cybersecurity Analytics

Detect and respond to cyber threats at cloud scale

Modern cybersecurity teams have to defend on-premises and multicloud footprints. Effective threat detection and response are challenged by the cost and complexity of siloed tools that neither scale nor provide capabilities for advanced threat detection. Databricks customers use the lakehouse to analyze petabytes of data and apply advanced analytics to reduce their cyber risk and operational costs.

Common Use Cases

Threat detection

Analyze and enrich petabytes of event data with reliable stream processing

Historic analysis at scale

Conduct deep forensic reviews with a scalable cloud platform that can analyze years of data

AI-powered security analytics

Build machine learning models for threat detection, analytical automation and response