Lumi Lounge Recap: 3 Takeaways from Splunk .conf26

At Splunk .conf26, Imply’s Lumi Lounge highlighted growing concern among security teams about the cost and scalability of centralizing ever-larger volumes of log data in a SIEM, alongside interest in retaining established Splunk workflows. Imply positioned its newly available Lumi Loglake as a federated-search approach that lets users query data stored in Amazon S3 with standard SPL and return native Splunk events without first moving, cataloging, or rehydrating the data, contrasting it with Splunk’s Machine Data Lake workflow. Customer BTG Pactual reported using a hybrid Splunk and Lumi architecture to extend searchable retention from 90 days to one year, add more than 45 data sources, support over 15 business units, process 17 additional terabytes daily, and reduce security-data costs by more than 70%. The discussion also emphasized that agentic security operations depend on affordable, searchable access to long-term historical data, since AI agents may conduct unpredictable, multi-step investigations that require context unavailable in short retention windows.

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