Build a security data lake without replacing Splunk
Take a break and join us for a demonstration of Imply Lumi, the shared data layer that helps organizations retain more security data, investigate faster, and reduce costs while preserving existing tools and workflows.
As security data volumes grow, traditional SIEM architectures force organizations to make difficult tradeoffs. Teams must retain less data, pay more for infrastructure, or disrupt the workflows analysts rely on every day.
In this demo, you’ll see how a shared data layer helps organizations build a security data lake while preserving the Splunk experience and the workflows analysts rely on every day.
What you’ll see
Modernize Splunk without disrupting your analysts
See how Lumi extends Splunk with a shared data layer that preserves dashboards, detections, SPL, and analyst workflows while reducing storage and infrastructure costs.
Query data where it lives
Search historical logs directly in object storage with no data movement, no schema management, and no rehydration delays.
Investigate faster at lower cost
Search months or years of retained security data in seconds using elastic compute instead of expensive always on compute.
Prepare your security data for AI
Give AI agents secure access to years of security telemetry while preserving existing analyst workflows.
Deploy in minutes
Integrate Lumi with existing Splunk environments using simple configuration changes. No migrations or retraining required.