Cybersecurity Lakehouse by Rearc

Cybersecurity teams across industries are beginning to adopt a new security engineering approach. It leverages Databricks as a cybersecurity lakehouse to operationalize logs within low-cost cloud storage and analyze them using SQL and Python via the best-in-industry Apache Spark™ query engine. This modern approach gives security teams more scale and flexibility at a lower cost, and enables agentic AI use cases. Rearc can help accelerate your adoption of the security lakehouse, allowing you to realize these benefits.

Rearc’s comprehensive solution supports your transformation in a number of ways:

• Streamline migration with automated conversion of existing detections
• More rapidly adopt data normalization with the OCSF schema
• Integrate the security lakehouse with existing data sources, data fabrics, SIEM solutions, SOAR systems, case management capabilities and threat intelligence feeds
• Enable AI assistance for threat investigations
• Equip threat management teams with training and workshops for detection engineering, threat analysis, investigation and hunting using the Databricks Data Intelligence Platform for Cybersecurity

Rearc uses its breadth of experience to identify your ideal operational model and rapidly reach that target platform state. Additional benefits of the Rearc Cybersecurity Lakehouse include:

• Rearc cybersecurity content library: Hundreds of out-of-the-box detections, alongside data parsers, sample investigation playbooks and analytics dashboards to jump-start your security lakehouse
• Custom accelerator tools: Leverage pre-built or customer-maintained resources using Rearc-built tools for common migration use cases
• End user platform enablement: Train your resources on the skills needed to become self-sufficient, develop new use cases and explore data in threat hunting or investigation scenarios