Lumi Loglake is out now, allowing enterprises to search unstructured logs directly in object storage. Learn more here.
Your data is trapped
inside your SIEM
It doesn’t have to be. Build a Security Data Lake without changing how your SOC works.
Imply Lumi
Federated provider for your SIEM.
Search logs where they already live.
your existing tools with zero workflow changes.
Why Lumi?
Imply is the fastest, most efficient way to decouple your observability stack
70%+
Savings
15x+
Faster searches
Accelerate investigations across real-time & historical data.
Zero
Workflow changes
Keep all your dashboards, detections, alerts, and existing workflows.
“With Imply Lumi, we can ingest more data, retain it longer, pull in telemetry from platforms beyond Splunk, and still understand what our costs will look like as we scale. It’s fundamentally changed how our team operates.”
Rafael Hass
Security Information Manager
BTG Pactual
Why organizations are adopting Lumi.
AI usage is generating more data than ever. Agentic workflows require more history and context. Legacy SIEMs break with AI-native workflows.
Best-in-class efficiency
Lumi is more than an order of magnitude more efficient than legacy SIEMs.
Connect your data lake
Query unstructured logs directly in your data lake. No schemas or catalogs required.
No migrations needed
Connect to Lumi via federated search. Continue to use your existing SIEM frontend.
Legacy SIEMs require compromises.
Moving your logs to your data lake is easy.
Accessing it is hard.
Separate search
experience
Workflow
Breaks
Schema
management
Duplicate
pipelines
A Security Data Lake needs a search layer that makes all of your data usable through the tools your analysts already know.
Lumi works
out-of-the-box
with your existing tools.
Query Lumi using SPL and SQL.
Works with the tools you already use
Splunk
Grafana
Databricks
AI Agents
Query with the languages you know
SPL
SQL
Build a security data lake without changing how your SOC works.
See how Imply Lumi can help you build a modern, compromise-free Security Data Lake.