SIEM data pipeline management: are your controls keeping up?

TL;DR: Security teams are being pushed to trim SIEM and data lake costs as data volumes rise, with Gurucul arguing that source-side filtering, enrichment, and routing can preserve visibility while cutting false positives by up to 70% and pipeline maintenance by 85%. The governance issue is no longer data hoarding, but deciding which telemetry must remain searchable, retained, and independent.

NHIMG editorial — based on content published by Gurucul: Rethinking Security Data: How to Cut SIEM Costs Without Sacrificing Visibility

By the numbers:

• A modern DPM strategy starts at 40% out of the box and can reach up to 87% with fine-tuning.
• Modern DPM solutions can reduce pipeline maintenance by up to 85%, turning weeks of work into hours.
• Modern Data Pipeline Management can cut false positives by up to 70% by filtering, enriching, and normalizing data at the source.

Questions worth separating out

Q: How should security teams reduce SIEM costs without creating blind spots?

A: Security teams should move from ingest-everything thinking to governed data routing.

Q: Why does source-side filtering sometimes improve security rather than weaken it?

A: Source-side filtering can improve security when it removes low-value noise while preserving the events that matter for detection and investigation.

Q: What do organisations get wrong about ingesting all logs into a SIEM?

A: They assume full ingestion automatically equals full visibility.

Practitioner guidance

• Map identity-critical telemetry before cutting ingestion Classify authentication, service account, privilege, and token events as non-negotiable sources, then decide which other data can be filtered or summarized without weakening detection.
• Separate detection storage from retention storage Send enriched, high-signal events to the SIEM for analytics and keep full-fidelity logs in lower-cost storage for audit, compliance, and replay investigations.
• Test replayability before an incident or audit Validate that investigators can reconstruct a timeline from raw logs, routed data, and enrichment output without depending on the original SIEM index alone.

What's in the full article

Gurucul's full blog covers the operational detail this post intentionally leaves for the source:

• The specific data pipeline management patterns used to reduce ingestion cost while preserving high-value security telemetry.
• The practical routing approach for sending enriched events to a SIEM while keeping raw logs available for compliance and replay.
• The article's detailed breakdown of how modern DPM changes pipeline maintenance effort and analyst workload.
• The source's explanation of vendor lock-in risks when security data remains trapped in proprietary formats.

👉 Read Gurucul's analysis of SIEM cost reduction and data pipeline management →

SIEM data pipeline management: are your controls keeping up?

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