Security teams should calculate ROI by comparing the full cost of the automation program with the value of reduced incident handling time, lower staffing pressure, fewer supporting tools, and lower response costs. The cleanest model uses expected incident volume, average resolution time, staff costs, and breach cost assumptions. Include less tangible benefits too, such as reduced analyst burnout and better stakeholder confidence.
What ROI Means When Security Automation Is a Pre-Purchase Decision
ROI for security automation is not just a software licence comparison. It is a before-and-after assessment of whether automation changes the cost of doing security work at scale, including analyst time, escalation load, response consistency, and the number of separate tools needed to complete a workflow. For a SOAR purchase, the right question is whether the platform reduces measurable effort and avoids enough operational waste to justify the total programme cost.
That matters because teams often undercount the hidden cost of manual coordination. A strong business case includes engineering time for integrations, playbook design, maintenance, tuning, training, and governance, not just subscription fees. It should also separate one-time setup costs from recurring operating costs so the payback period is realistic. NIST SP 800-53 Rev 5 Security and Privacy Controls is useful here because it reinforces the need to treat automation as part of a controlled operating model, not as a standalone purchase.
In practice, many security teams discover the real ROI problem only after procurement, when the first wave of playbooks exposes integration debt and ownership gaps that were not visible in the pitch.
How to Build a Defensible ROI Model for SOAR
A credible ROI model starts with a baseline of current workflow cost, then compares that baseline to the post-automation state. The baseline should capture how often the relevant incidents occur, how long each one takes, which roles are involved, and what each hour of effort costs. For security operations, the most useful unit is often not total incident volume but the subset of repetitive cases that are stable enough to automate without losing judgment.
The calculation should include both direct and indirect cost categories. Direct costs usually include platform licensing, integration work, content development, infrastructure, and support. Indirect costs include analyst distraction, queue delays, missed handoffs, and the time senior staff spend validating routine work. If the organisation plans to reduce external service spend or avoid buying point solutions because the SOAR platform centralises orchestration, those savings belong in the model too, but only if they are realistic and tied to named workflows.
A practical method is to estimate savings per automated use case, then multiply by volume and adoption rate. For example, if a playbook reduces a task from 45 minutes to 10 minutes and the task happens hundreds of times per month, the time saved becomes meaningful quickly. But the model must also apply a confidence discount for exceptions, failed integrations, and cases that still require human review. Without that discount, ROI is usually overstated.
- Use a current-state workflow inventory to identify the highest-volume repetitive tasks.
- Assign a labour cost to each step, including validation and escalation.
- Estimate integration and maintenance effort separately from initial deployment.
- Model adoption conservatively, because not every alert type is suitable for straight-through automation.
- Test assumptions against real case samples before turning them into a board-level number.
The model should also define the time horizon. A 12-month view may favour faster wins, while a 24- to 36-month view better reflects the value of a mature automation programme. Where automation touches incident containment or privileged response paths, teams should model not only efficiency but also the cost of errors introduced by bad playbook logic, because a poorly designed workflow can create more work than it removes. The guidance breaks down when teams try to justify SOAR from a single headline metric rather than from a workflow-specific cost and benefit profile.
Where SOAR ROI Models Usually Mislead Buyers
Tighter automation often increases governance and maintenance overhead, so teams have to balance operational speed against the cost of keeping playbooks accurate and trusted.
The most common mistake is assuming every alert should be automated because automation sounds cheaper. In reality, only repeatable, bounded, and well-understood tasks tend to produce durable ROI. Highly variable investigations often need orchestration support rather than full automation, because the human decision points remain too significant to remove.
Another edge case is treating labour savings as cash savings. In many SOCs, automation does not immediately reduce headcount; it usually creates capacity. That capacity still has value, but it should be framed as faster response, better coverage, or avoidance of future hiring, not as an immediate budget cut unless leadership has committed to that operating model. A second issue is tool overlap. If the buyer is already using case management, EDR-driven response, or ticketing integrations, the incremental value of SOAR may be narrower than expected, so the ROI model should isolate the exact functions that are actually new.
NIST SP 800-53 Rev 5 Security and Privacy Controls is relevant here because it helps teams think in terms of accountable control outcomes rather than feature claims. When the organisation cannot define which control outcomes the automation improves, the business case is usually too weak to trust. The model becomes unreliable when teams count theoretical efficiency gains without proving that the workflow, the integration, and the ownership model can actually sustain them.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
MITRE ATT&CK address the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.RM — Risk Management Strategy | ROI for SOAR is a risk-based investment decision about operational value. |
| DE.CM — Continuous Monitoring | Automation ROI should be measured through sustained operational monitoring, not assumptions. | |
| Recommendation — Define expected risk-reduction outcomes before approving the automation investment. Measure whether automation actually lowers queue time, touch time, and response friction. | ||
| CIS Controls v8 | CIS Control 4 — Secure Configuration of Enterprise Assets and Software | SOAR value depends on controlled integrations, tuning, and repeatable configuration. |
| CIS Control 8 — Audit Log Management | ROI claims often depend on reduced manual handling and better response visibility. | |
| Recommendation — Standardise and maintain playbook configurations so automation stays reliable over time. Use logging evidence to verify that automation reduces handling time and preserves accountability. | ||
| MITRE ATT&CK | T1106 — Native API | SOAR value commonly comes from orchestrating actions through APIs and integrations. |
| Recommendation — Map automated response actions to exposed APIs and monitor integration abuse paths. | ||
Practitioner Guidance
What to prioritise: Start with the few workflows that are frequent, well-defined, and expensive in analyst time. Those cases create the clearest ROI signal because they combine measurable effort reduction with lower variance in execution.
What to verify: Validate both the volume assumption and the exception rate before approving the business case. If the process still depends on frequent manual judgement, treat the claim as orchestration support rather than automation savings.
Decision rule: If the proposal cannot show payback using conservative adoption and maintenance assumptions, treat the purchase as an operational improvement project rather than a cost-saving investment. That avoids overstating benefits before the platform has proved itself in production.
Practitioner takeaway: The strongest SOAR ROI cases are workflow-specific and conservative; if the model only works when every ideal condition holds, it is probably a procurement story, not a defensible investment case.
Related resources from NHI Mgmt Group
- How should security teams respond when an automation platform holds privileged NHI secrets?
- How do security teams know whether an automation platform has become too privileged?
- What should security teams verify before embedding signing into a lending platform?
- What should IAM teams verify before approving a sovereign security platform?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 9, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
