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02/08/2026 11:37 am
TL;DR: The real bottleneck in modern SIEM, data lake, and observability programmes is not destination choice but data onboarding, with custom connectors, schema drift, and maintenance work creating months of delay and six-figure annual overhead, according to DataBahn. The governance issue is no longer log storage, it is whether telemetry can be normalised, enriched, and routed before cost and blind spots accumulate.
NHIMG editorial — based on content published by DataBahn: why legacy SIEMs are a problem and how data onboarding shapes modern telemetry
By the numbers:
- SIEM deployments take 12–18 months when they should take weeks, because integration work is the first hurdle which blocks everything downstream.
- Organizations applying pre-SIEM filtering and enrichment have reduced SIEM-bound data volume by 50 to 70 percent, cutting licensing costs by more than half.
- One medical device manufacturer cut Splunk costs by over 50 percent within seven days of deploying edge-level filtering and enrichment.
Questions worth separating out
Q: What breaks when telemetry onboarding is treated as an afterthought?
A: Visibility becomes partial, delayed, and expensive.
Q: Why do identity-rich sources make onboarding harder?
A: Identity providers, service accounts, and cloud control planes often use different schemas, authentication methods, and event formats, so they demand careful normalisation before analysis.
Q: How do teams measure whether enrichment is actually working?
A: Measure whether enrichment changes analyst behaviour and response speed, not just whether more feeds are connected.
Practitioner guidance
- Define onboarding as a managed control surface Assign ownership, service-level targets, and maintenance metrics to the telemetry ingestion layer so custom parsers and connectors are tracked like any other operational dependency.
- Move enrichment before SIEM retention decisions Attach asset identity, threat intelligence, and source context in stream so routing can send high-value events to SIEM and lower-value events to cheaper storage.
- Inventory identity-bearing log sources first Prioritise identity providers, cloud control planes, service account logs, and authentication events because they carry the context needed for access and anomaly investigations.
What's in the full article
DataBahn's full article covers the operational detail this post intentionally leaves for the source:
- Connector architecture details for SaaS, cloud, network, and endpoint sources that determine how the ingestion layer scales.
- Collection-path options such as syslog, webhook, Kafka, APIs, and object storage that matter once teams move beyond strategy.
- Parsing and schema-handling behaviour for formats such as JSON, XML, CEF, LEEF, PSV, and CSV when onboarding diverse telemetry.
- Maintenance and routing model details that show how connector health and schema drift are handled over time.
👉 Read DataBahn's analysis of data onboarding debt and pre-SIEM enrichment →
Pre-ingestion enrichment: what it changes for SIEM and SOC teams?
Explore further
02/08/2026 12:50 pm
Onboarding debt is now a governance problem, not just an engineering inconvenience. The article shows that telemetry programmes fail when every source becomes a bespoke project. That creates a structural gap between what security leaders think they can observe and what the pipeline can actually collect. For SOC and GRC leaders, the issue is not simply coverage, it is whether coverage can be maintained as the environment changes.
A question worth separating out:
Q: When should teams route events away from the SIEM?
A: Route events away when enrichment shows they are low-value for detection, such as routine activity from trusted assets or repetitive noise that does not need premium retention. The decision should be based on context, not raw volume. High-value or suspicious events should still reach SIEM with full fidelity for investigation and correlation.
👉 Read our full editorial: Pre-ingestion enrichment is becoming a control point for SOC cost and coverage
