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02/08/2026 12:09 pm
TL;DR: Security teams are trying to make telemetry usable beyond engineers, but legacy SIEM access models, noisy logs, and cost-driven filtering still block broad self-service, according to DataBahn. The governance challenge is not whether to open access, but how to do it without weakening integrity, compliance, or decision quality.
NHIMG editorial — based on content published by DataBahn: Why are Legacy SIEMs a problem?
By the numbers:
- Telemetry volume is growing about 30% annually, doubling roughly every three years.
- Some organisations report a 60% reduction in log volume within 2 weeks, saving about $300,000 per year in SIEM licensing and another $50,000 in storage costs.
Questions worth separating out
Q: How should security teams broaden access to telemetry without creating governance risk?
A: Use role-based access, policy-driven filtering, and upstream normalization so each user group sees only the telemetry it needs.
Q: Why do raw logs create so much friction for non-engineers?
A: Raw logs are hard to use because they are fragmented, inconsistent, and often missing context.
Q: What do organisations get wrong about democratizing security data?
A: They often confuse broader access with unrestricted access.
Practitioner guidance
- Map telemetry consumers to access classes Define separate access tiers for hunters, auditors, SOC analysts, and executives so each group gets the minimum telemetry required for its role.
- Normalize and enrich before broad distribution Build the pipeline so logs are converted into a common schema and enriched with asset, identity, and threat context before they are exposed outside the engineering team.
- Treat log copies as governed data assets Track where telemetry is replicated, stored, and retained after export.
What's in the full article
DataBahn's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step explanation of the security data pipeline architecture used to move telemetry from ingestion to governed access.
- Detailed examples of normalization, enrichment, filtering, and routing decisions that affect SIEM cost and visibility.
- Operational guidance on how different user groups can query security data without creating compliance or data sprawl problems.
👉 Read DataBahn's analysis of democratizing security telemetry beyond SIEM engineers →
Security data democratization: what it means for IAM and governance?
Explore further
02/08/2026 1:13 pm
Security telemetry democratization creates an identity governance problem, not just a data architecture problem. Once analysts, auditors, and executives need access beyond engineering teams, organisations must define who can query what, under which approval model, and with which data minimization rules. That is an IAM and access governance question as much as a pipeline question. The practical conclusion is that telemetry access should be governed like any other sensitive business resource.
A question worth separating out:
Q: Who should be accountable when telemetry access exposes sensitive data?
A: Accountability should sit with the data and security owners who define classification, retention, masking, and access policy. If telemetry contains personal data, secrets, or regulated records, those controls need explicit ownership, not informal engineering discretion.
👉 Read our full editorial: Security data democratization is colliding with SIEM governance gaps
