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"The future of AI-driven defense with Databricks: Protect with the power of data and AI"

Data intelligence unifies enterprise data across sources and scale, enabling AI-driven security operations. This eBook provides security leaders a roadmap to modernize operations with unified lakehouse architecture, breaking silos and connecting security, IT, and business data. Download the eBook today.

Traditional SIEM platforms often underperform due to high costs, inflexible schemas and limited scalability. These barriers make it hard to use advanced analytics, keep historical data and integrate machine learning into security operations.

The Databricks security lakehouse provides a flexible, scalable foundation for modernizing security operations. Teams can ingest security telemetry from identity, endpoint, cloud and network sources. Lakehouse architecture enables flexible analysis through its open and governed framework.

Rather than replace existing tools, the Databricks Platform integrates with SIEM, SOAR and case management systems to enhance detection, investigation and automation capabilities.

This blueprint offers a modular reference architecture for building a security lakehouse.

Key steps:

Inventory and prioritize your data sources

Ingest and normalize security telemetry

Operationalize detections

Route alerts and integrate SOC tools

Support investigation and triage workflows

Deliver security outcomes

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