TL;DR: SIEM data costs can be reduced by 40% to 87% with Data Pipeline Management, according to Gurucul, while a Cybersecurity Insiders study cited in the post found 45% of companies manage more than 20 detection tools and 96% report critical visibility blind spots. The governance issue is not just volume reduction, but whether identity and risk context survive the filter.
NHIMG editorial — based on content published by Gurucul: A Smart SIEM for the Smarter SOC: Cut Data Costs, Complexity and Boost Analysts
By the numbers:
- 45% of companies are managing over 20 tools for threat detection and response.
- 96% reporting critical blind spots, most commonly in cloud infrastructure (74%) and identity and access behavior (67%).
- 40–87% savings on SIEM data costs.
Questions worth separating out
Q: How should SOC teams reduce SIEM costs without losing identity visibility?
A: SOC teams should reduce cost by routing low-value telemetry away from premium retention while preserving enriched identity events for users, service accounts, and workloads.
Q: Why do fragmented SIEM, UEBA, SOAR, and ITDR stacks create governance risk?
A: Fragmented stacks create governance risk because each tool may normalise, score, or retain identity data differently, which breaks shared visibility across the SOC.
Q: What breaks when high-volume logs are trimmed without context-aware filtering?
A: What breaks is not just logging volume, but the ability to prioritise suspicious identity behaviour over noise.
Practitioner guidance
- Define a telemetry preservation policy for identity-linked events Classify which user, service account, workload, and admin events must retain full enrichment before any cost optimisation rules can route them to lower-cost storage.
- Validate correlation quality after ingest reduction Measure whether fewer logs still preserve detection for anomalous access, lateral movement, and privilege abuse across cloud and SaaS environments.
- Map SOC tool overlap to shared identity context Inventory where SIEM, UEBA, SOAR, and ITDR duplicate data handling, then confirm each module sees the same entity identity and event lineage.
What's in the full article
Gurucul's full blog covers the operational detail this post intentionally leaves for the source:
- How Data Pipeline Management filters, enriches, and routes telemetry before it reaches the SIEM
- Examples of the platform's shared risk scoring across SIEM, UEBA, SOAR, and ITDR workflows
- The specific cost-reduction claims and deployment outcomes referenced by Gurucul
- How the vendor describes analyst workflow changes when identity context is preserved
👉 Read Gurucul's blog on smart SIEM data reduction and identity context →
SIEM data reduction and identity context: what SOC teams should weigh?
Explore further
Smart SIEM is really a telemetry governance problem. The article frames cost reduction as the headline, but the deeper issue is which identity and behaviour signals survive the pipeline. If SOC teams cannot preserve entity context for users, service accounts, and workloads, the platform may be cheaper while becoming less defensible. Practitioners should judge smart SIEM claims by signal integrity, not by ingest reduction alone.
A few things that frame the scale:
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, which is why identity-aware telemetry remains a governance problem, not just a logging problem.
A question worth separating out:
Q: How can teams tell whether SOC consolidation is improving or weakening control?
A: Teams should look at investigation fidelity, alert precision, and time to triage, not just the number of tools removed. If consolidation lowers cost but makes identity-linked events harder to trace, control has weakened. A useful benchmark is whether analysts can still follow a single event from collection through response without losing context.
👉 Read our full editorial: Smart siem economics are reshaping soc data management