New Security Data Layer Cuts Storage Costs By 70%
The platform enables longer searchable log retention by separating compute and storage for enterprise security teams.
Updated on Oct. 21, 2026 in Cybersecurity
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Imply has launched a security data layer platform called Lumi designed to sit beneath existing Security Information and Event Management (SIEM) products. Financial services firm BTG Pactual has deployed the system to manage its security logs.
Why it matters
Organizations are struggling to manage the ballooning volume of security logs and telemetry produced by automated agents. This platform aims to reduce costs and extend searchable data timelines by separating compute and storage functions.
BTG Pactual now processes 17 terabytes of additional daily data using the platform, supporting over 15 business units across 45 integrated data sources. This performance is enabled by separating storage, compute, and access functions within the security stack.
The players
Imply
A technology company specializing in data architecture and analytics platforms that leverage Apache Druid to manage high-throughput, real-time data.
BTG Pactual
A Latin American investment bank and financial services company that operates a large-scale Security Operations Center managing diverse business units.
The details
Lumi functions as a security data layer by storing logs in object storage rather than traditional, more expensive SIEM storage arrays. The system enables security teams to query this data using familiar SQL and SPL (Search Processing Language) query structures while scaling compute resources based on immediate search demand. This architecture allows the platform to maintain access to both indexed logs and unstructured data over longer time horizons.
Timeline
- 2026-10-21
Imply announced its expanded SIEM strategy.
The Tech Race
This strategy competes directly with the native storage and indexing limitations of traditional Security Information and Event Management (SIEM) platforms. It challenges the standard industry model where high storage costs force teams to limit searchable log retention to 90 days.
Security teams managing large-scale log telemetry can now extend data retention periods while utilizing standard SQL or SPL queries. The shift primarily benefits organizations with high-volume, automated environments that currently face high costs for maintaining long-term searchable logs.
The takeaway
The move toward decoupled storage layers for security data is a critical trend to watch as log volumes continue to rise across enterprise environments. Security leaders should track if Imply maintains this 70% cost reduction figure as they scale the Lumi platform to wider, heterogeneous data sources.
Further reading
For broader trends in security operations, explore our coverage of Cybersecurity.
Source note: This article includes information reported by SecurityBrief US.
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