Organisations keep relying on SIEMs because they remain the operational backbone for incident investigation, case management, log ingestion, and alert triage. The article suggests a gap between ubiquity and perceived value, which usually means the tool is necessary but insufficient. Teams should evaluate whether the SIEM is being used as a core data platform, a workflow engine, or both, then invest accordingly.
Why SIEMs stay in the stack even when they are not the favourite tool
SIEMs persist because they solve a coordination problem, not because they are the best tool at every job. They centralise telemetry, preserve searchable history, and give analysts a common place to investigate alerts, correlate events, and hand off cases. That makes them operationally sticky, especially in mature environments where auditability and repeatability matter.
The same reason they stay also explains why teams often complain about them: a SIEM is only valuable when the organisation has enough log quality, detection engineering discipline, and triage workflow to turn raw events into decisions. If those inputs are weak, the platform feels expensive and noisy rather than indispensable.
Most teams therefore use the SIEM as a backbone service rather than a destination. It may not be the richest analytics layer, the best investigation interface, or the most elegant data lake, but it is usually the place where security events become operationally actionable.
That operational role aligns with incident handling and log-driven investigation practice, which is why SIEMs remain central to security operations even as teams add EDR, XDR, cloud-native monitoring, and SOAR around them. The practical question is less “is the SIEM best?” and more “what role does it play in the wider detection and response chain?”
For a broader operational reference point, teams often map this kind of logging and detection backbone to the NIST Cybersecurity Framework 2.0, which frames how organisations govern, detect, respond, and recover across a security programme.
What the platform is actually doing in modern security operations
A SIEM is still useful when it is treated as a system of record for security telemetry and analyst workflow. It ingests logs from many sources, normalises them enough for cross-domain searching, and supports correlation across identity, endpoint, network, cloud, and application activity. That breadth is hard to replace with point tools alone.
It also supports the parts of security work that are easy to underestimate: retention, evidence preservation, case context, and repeatable review. A well-run SIEM gives teams a defensible trail for investigations and post-incident review, which matters when the goal is not just alerting but also reconstruction and accountability.
In practice, the SIEM becomes most valuable when it is paired with a clear detection model. If detections are designed around known attacker behaviour, a SIEM can reduce fragmentation by bringing disparate signals into one place. If detections are ad hoc, the same platform tends to accumulate rules, dashboards, and alerts that are difficult to operationalise.
That is why many organisations keep the SIEM even after adopting more specialised platforms. The specialised tools may outperform it on specific tasks, but they do not usually replace its role as the central collection, search, and triage layer.
Teams looking for a more prescriptive security-control lens often use the NIST SP 800-53 Rev 5 Security and Privacy Controls as a way to anchor logging, audit, and monitoring expectations, while the FIRST incident response standards are useful when the SIEM is being used to support coordination and case handling.
How to judge whether yours is a backbone or a burden
The most useful test is not whether people like the SIEM, but whether it improves time to understand, time to investigate, and time to hand off a case. If analysts still have to swivel into half a dozen systems before they can answer basic questions, the SIEM is probably functioning as an index rather than an operational platform.
What to verify: Check whether ingestion coverage includes the systems that actually generate high-value security decisions, not just the easiest logs to collect. Then verify whether the alert stream is being used for triage, enrichment, and retention, or whether it mainly exists to satisfy compliance and audit expectations.
Trade-off: A SIEM usually gives you breadth and traceability in exchange for cost, tuning effort, and platform overhead. That trade-off is acceptable when the organisation needs centralised visibility and investigation continuity, but it becomes poor value when the tool is used as a catch-all for every security problem.
What to measure: Look at the proportion of alerts that become cases, the amount of duplicate telemetry being stored, and whether analysts can reconstruct a timeline without exporting data into another tool. Those signals tell you whether the SIEM is helping or merely collecting.
Practitioner takeaway: The right question is not whether the SIEM is the “most valuable” platform, but whether it remains the place where security data becomes operationally usable; if it does not, the issue is usually operating model and telemetry design, not just product choice.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, CIS Controls v8 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | DE.CM — Security Continuous Monitoring | SIEMs operationalise continuous monitoring across logs and alerts. |
| RS.AN — Incident Analysis | The page centres on investigation and triage workflows that SIEMs support. | |
| GV.RM — Risk Management Strategy | Choosing SIEM scope and role is a programme-level security investment decision. | |
| Recommendation — Use DE.CM to define the telemetry and alert coverage your SIEM must sustain. Use RS.AN to structure SIEM-backed investigation and case analysis workflows. Use GV.RM to align SIEM spend with the organisation’s monitoring and response risk appetite. | ||
| CIS Controls v8 | 8 — Audit Log Management | SIEM value depends on collecting, retaining, and using audit logs effectively. |
| 17 — Incident Response Management | SIEMs support triage, evidence gathering, and coordination during incidents. | |
| Recommendation — Implement Control 8 to centralise, retain, and review the logs your SIEM depends on. Use Control 17 to connect SIEM detections to repeatable incident response workflows. | ||
| NIST SP 800-63 | Digital Identity Guidelines | Identity events are a major SIEM data source for detection and investigation. |
| Recommendation — Align identity telemetry with your SIEM so authentication events can support investigations. | ||
Related resources from NHI Mgmt Group
- Why do cloud security programmes still miss exploitable risk even with many tools deployed?
- Why do organisations switch eSignature providers even when the platform still works?
- How do security teams know whether an EOL platform is still acceptable risk?
- What breaks when DIB security teams still rely on human-speed defense?
