Smaller organisations often struggle to realise SOAR value when they lack dedicated monitoring, incident response, or threat intelligence staff. Automation can still help, but only if it is packaged with usable processes and clear operational ownership. Without that support, the platform can become underused or poorly tuned, which reduces the return on investment and weakens response consistency.
Why SOAR Stalls in Smaller Teams
SOAR delivers value only when an organisation can define, own, and sustain the workflows it is automating. In smaller teams, the limiting factor is often not the platform itself but the lack of enough people to monitor, validate, tune, and respond to the alerts and playbooks that SOAR orchestrates. If those human functions are missing, automation becomes brittle rather than efficient.
That is why process maturity matters as much as tooling. A playbook that looks good on paper still needs clear triage criteria, exception handling, escalation paths, and somebody accountable for keeping it current when detections, assets, or adversary behaviour change.
What Underused SOAR Looks Like Operationally
When staffing is thin, SOAR often gets deployed as a set of disconnected automations instead of an operating model. Common symptoms include excessive manual overrides, playbooks that are rarely executed end to end, alerts that still need human interpretation at every step, and response paths that differ depending on who is on shift. The result is not just wasted licensing spend, but inconsistent handling of the same event class over time.
In practice, the platform may still save time on narrow tasks such as enrichment or ticket routing, but it will not reliably deliver the deeper gains of coordinated detection and response unless the surrounding process is stable. That is where maturity shows up, not in the number of playbooks, but in whether the team can run, test, and improve them without constant rescue work.
A useful benchmark for this kind of maturity thinking is OWASP SAMM, because it treats operational capability as something that has to be built deliberately rather than assumed.
How to Judge Whether SOAR Is the Right Fit
The key question is not whether SOAR is useful in principle, it is whether the organisation can support the operating burden it creates. If monitoring coverage is patchy, incident response is largely ad hoc, or threat intelligence is not translated into actionable logic, automation will amplify the weaknesses already present.
Smaller organisations should therefore treat SOAR as a force multiplier for an existing response process, not a substitute for one. If the team cannot define who owns a playbook, who approves changes, and who reviews failures, the platform will tend to drift into shelfware or over-automation. That is especially true when alerts require contextual judgement that a workflow cannot safely remove.
For teams that are still building the underlying discipline, maturity models can help structure the work. NHIMG’s Agentic AI Identity Maturity Model is aimed at a different subject, but the underlying lesson is the same: automation becomes dependable only when roles, ownership, and operating assumptions are explicit.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP SAMM provides the primary governance reference for this topic.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP SAMM | Software Assurance Maturity Model | SOAR success depends on process maturity and repeatable operating practices. |
| Recommendation — Use SAMM to assess whether your response processes are mature enough to automate safely. | ||
Practitioner Guidance
What to prioritise: Start with the most failure-prone workflow, usually alert enrichment or a repeatable containment step, and prove that one path can be maintained by the people you actually have. Do not begin with broad automation goals if the team cannot support review, exception handling, and change control.
Decision rule: If a playbook requires frequent human correction or unresolved context decisions, keep it small and assistive; if the workflow is stable, repetitive, and well-owned, automation can safely take on more of the execution.
What to verify: Check that every automated action has an owner, a rollback path, and a review cadence. If those three are missing, the organisation is not ready to rely on the control even if the software is configured correctly.
What good looks like: The best signal is not maximal automation, but consistent handling of a narrow set of incidents with fewer handoffs, fewer exceptions, and clear evidence that the team can keep the logic current.
Practitioner takeaway: Smaller organisations get value from SOAR when the platform matches their operational capacity, not when it tries to replace it.
Related resources from NHI Mgmt Group
- What happens when organisations try to use FreeRADIUS without enough in-house expertise?
- What happens when organisations try to use zero trust without changing access control first?
- What happens when organisations try to scale MDR without enough analyst expertise and coverage?
- What happens when organisations use low-code automation beyond the SOC without clear process ownership?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 30, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
