Common signals include rising ingestion cost, slow searches, a growing share of routine or repetitive logs, and analysts having to hunt through noisy telemetry to find useful events. If the SIEM contains more bulk operational data than actionable detections, routing is misaligned with security value.
How to tell when SIEM routing is drifting away from security value
The clearest sign is not a single broken dashboard, but a workload pattern that keeps moving the SIEM farther from detection work. When routing is healthy, high-value security telemetry is easy to find and the storage or ingestion burden stays proportionate. When it is failing, routine operational noise starts to dominate the pipeline, and analysts spend more time filtering than investigating.
A second sign is that the SIEM becomes expensive to use for the wrong reasons. Cost growth, sluggish searches, and excessive retention pressure usually mean the routing rules are sending too much low-value data into the platform, or not separating actionable events from bulk telemetry early enough. In practice, that is a routing design problem, not just a tuning problem.
Routing quality is best judged by whether the incoming mix still supports detection outcomes. If the platform contains more repetitive logs than security-relevant events, the routing layer is no longer acting as a triage point. That is also where the Sumo Logic breach 2023 is a useful reminder that log platforms and their surrounding access paths depend on careful credential control, not only data volume management.
What operational symptoms usually appear first?
The earliest warning is often analyst friction. Searches take longer, saved queries degrade, and teams start treating the SIEM as a compliance repository instead of an investigative system. When that happens, the routing rules are often too broad, too static, or too dependent on source defaults that were never validated against current detection needs.
Another symptom is telemetry imbalance. You may see a growing proportion of routine application, infrastructure, or monitoring logs with little corresponding lift in detection coverage. That imbalance matters because routing should prioritise signal density, enrichment value, and investigative usefulness, not raw ingest completeness for its own sake. A well-run pipeline should make meaningful events easier to isolate, not harder.
A third signal is operational rework. If analysts repeatedly build ad hoc filters to recover useful events that the routing layer should already have separated, the SIEM is absorbing avoidable noise upstream. At that point, routing is functioning as a cost amplifier rather than a security control.
How should teams interpret noise, cost, and search slowdown together?
Those three symptoms usually reinforce one another. Cost rises because more data is entering expensive retention and search paths. Searches slow because the platform must scan through low-value events. Noise increases because routing is not enforcing a meaningful boundary between telemetry that supports detections and telemetry that only adds volume.
This is why the right question is not simply, “Are we collecting everything?” The better question is whether each routed data class has a clear investigative or detection purpose. If it does not, the routing decision should be challenged before storage, retention, or dashboard issues are treated as the primary problem.
For teams building or reviewing routing logic, the NIST Cybersecurity Framework 2.0 is a useful way to anchor the discussion in detection and response outcomes, while the NIST SP 800-53 Rev 5 Security and Privacy Controls helps connect routing quality to logging, monitoring, access control, and auditability expectations.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 addresses the attack and risk surface, while NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | DE.CM-01 — Monitoring for Unauthorized Personnel, Connections, Devices, and Software | SIEM routing quality directly affects continuous monitoring and detection signal quality. |
| Recommendation — Tune telemetry routing so monitoring surfaces security-relevant events without excessive noise. | ||
| NIST SP 800-53 Rev 5 | AU-6 — Audit Record Review, Analysis, and Reporting | Routing determines whether audit data remains reviewable and useful for analysis. |
| AU-2 — Audit Events | The question hinges on whether collected events are the right ones to send to the SIEM. | |
| Recommendation — Review routed logs for relevance and reduce low-value ingest that impairs analysis. Define audit events so the SIEM ingests security-value telemetry, not bulk operational noise. | ||
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | Log routing can expose sensitive credentials or tokens if noisy telemetry is over-collected. |
| Recommendation — Prevent secrets from entering routed logs by filtering and redacting at ingest. | ||
Practitioner Guidance
What to prioritise: Start by separating “high-volume” from “high-value.” If a log source cannot be tied to a detection use case, a forensics need, or a compliance obligation, it should not automatically enjoy full SIEM treatment.
What to verify: Check whether routing rules still reflect the current environment. A common failure mode is that old onboarding decisions survive long after the original use case disappeared, so the SIEM keeps ingesting data that no one can operationally justify.
What good looks like: The SIEM should show a defensible ratio of security-relevant telemetry to routine operational noise, with search latency and ingest cost staying stable as the environment grows. If the platform feels harder to investigate over time, routing is probably the first thing to review.
Practitioner takeaway: Treat routing as a detection-quality control, not a storage problem. When the platform becomes expensive, slow, and noisy at the same time, the safest assumption is that the telemetry boundary has drifted and needs redesign.
Related resources from NHI Mgmt Group
Deepen Your Knowledge
Free weekly newsletter
Subscribe to the NHI & AI Identity Journal
The latest on NHI and Agentic AI security – articles, research, breaches, news and events every week.
Bonus 33% off our NHI Course when you subscribe.
Reviewed and updated by the NHIMG editorial team on October 13, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org