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02/08/2026 12:13 pm
TL;DR: Legacy SIEMs and monolithic SOC platforms struggle when organizations ingest terabytes of telemetry and still leave roughly two-thirds of alerts uninvestigated, according to DataBahn. The shift to security data fabrics changes the control problem from raw volume to governed routing, where context, filtering, and enrichment determine what reaches expensive detection tiers.
NHIMG editorial — based on content published by DataBahn: Why are Legacy SIEMs a problem?
By the numbers:
- Up to 30% of a SOC analyst’s time can be wasted chasing false positives from undifferentiated data.
- One firm reduced SIEM data by up to 70% while actually enhancing detection rates, simply by forwarding only security-relevant logs.
Questions worth separating out
Q: How should security teams reduce SIEM noise without losing important alerts?
A: Focus on context, not volume.
Q: When does a security data fabric make more sense than a monolithic SOC platform?
A: It makes sense when telemetry growth, cloud churn, and analytics demand have outgrown the ability of one platform to collect, enrich, and search everything efficiently.
Q: What do SOC teams get wrong about filtering logs before ingestion?
A: The common mistake is filtering without context.
Practitioner guidance
- Define enrichment before retention Map where asset, user, location, and threat-intel context enters the pipeline, then ensure those fields are available before SIEM-tier ingestion decisions are made.
- Separate collection from analytics Split telemetry collection, normalization, search, and correlation into distinct services so new sources do not force a platform-wide redesign.
- Apply policy-driven routing Route high-value events to SIEM or XDR, send low-value telemetry to cheaper storage, and keep hunt-ready copies where investigation needs them.
What's in the full article
DataBahn's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step examples of how a security data fabric parses, enriches, and routes logs in motion.
- The article's explanation of edge-level filtering and why it can cut SIEM ingest without losing security-relevant context.
- Specific architectural examples showing how telemetry is forked between SIEM, XDR, SOAR, and data lakes.
- The vendor's own framing of how composable pipelines reduce licensing pressure and improve SOC agility.
👉 Read DataBahn's analysis of security data fabrics and legacy SIEM limits →
Security data fabrics and SIEM sprawl: what changes for SOC teams?
Explore further
02/08/2026 1:16 pm
Security data fabric is becoming a control plane problem, not just a data plumbing problem. Once log collection, enrichment, and routing determine which evidence survives to be investigated, the architecture is part of security governance. That shifts ownership from only SOC engineering to identity, cloud, and platform teams as well, because the context attached to events often comes from user, workload, and service identities. The practical conclusion is that telemetry architecture must be governed like a detection control, not treated as a back-end utility.
A question worth separating out:
Q: Who should be accountable for telemetry routing decisions in modern security operations?
A: Accountability should sit across SOC engineering, cloud security, and identity teams, because routing decisions depend on both event content and the context attached to user, workload, or service identities. When those teams are separated, data silos appear and the fabric loses its governance value.
👉 Read our full editorial: Security data fabrics are replacing legacy SIEM ingestion models
