SOC architects, security engineers, detection engineers, and platform engineers responsible for designing and implementing high-performance security data infrastructure.
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SIEM-centric data models fail at scale because they were designed for correlation, not storage — creating ingestion bottlenecks and query performance limits that block AI-driven detection and retrospective analytics.
This reference architecture defines the full security data lake stack on MinIO AIStor, including Iceberg integration for advanced analytics, log pipeline design, and SIEM ecosystem connectivity.
SOC teams that implement this architecture gain a scalable, cost-efficient security data layer capable of storing years of telemetry for ML model training, retrospective detection, and compliance retention.
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