Start with workflows that are routine, well documented, and time intensive, because those are the best candidates for reliable automation. Teams should avoid automating ambiguous or highly exception driven processes until the data is accurate and the logic is understood. The goal is to remove repetitive work, reduce human latency, and free analysts to focus on complex investigations and response decisions.
Which alert workflows belong on the first SOAR shortlist?
Start with alert handling that is repetitive, rule driven, and easy to verify end to end. Those workflows usually have stable inputs, a predictable decision tree, and a clear success condition, which makes them good candidates for orchestration before you invest in more complex cases. The practical test is whether the workflow can be made faster without changing the underlying security judgement.
A good first wave usually includes enrichment, deduplication, ticket creation, containment steps with narrow blast radius, and other tasks where analysts are mostly moving data and following a repeatable sequence. That is where automation tends to remove the most friction with the least risk of hidden exceptions.
Why routine alert handling is safer to automate first
Automation works best where the process is already understood by the team and the inputs are consistent enough to support deterministic actions. If analysts still debate the meaning of an alert, the playbook is not ready. If the workflow already has a known decision rule, SOAR can reduce latency and standardise execution.
This is why routine work should be separated from judgement-heavy work. For example, enrichment can collect context, update case fields, and route the alert, while a human can still decide whether the signal represents real compromise. That split keeps automation focused on speed and consistency rather than trying to replace investigation.
Teams should also look for volume. Repetitive alerts with the same handling pattern create the strongest business case because each minute saved multiplies across many cases. By contrast, a workflow that is rare but highly sensitive may still deserve automation, but usually only after the team has more confidence in the logic and rollback path.
What to delay until the workflow is better understood
Ambiguous and exception-heavy workflows should stay manual until the data quality, branching logic, and edge cases are well documented. If a playbook must guess between several plausible interpretations, automation will often amplify the wrong decision rather than reduce effort. That is especially true where the alert outcome can trigger disruptive response actions.
Highly variable workflows also need more guardrails. If the handling depends on context that is difficult to codify, such as asset criticality, business timing, or changing threat conditions, the automation should probably begin with assistance rather than full execution. In those cases, the first value may be in drafting the response, not carrying it out.
For that reason, good SOAR candidates are not the most dramatic alerts, but the ones with the clearest rules and the lowest ambiguity. The more exception paths the workflow contains, the more important it is to prove the logic in a pilot before promoting it to production. Teams can use FIRST materials to strengthen incident handling discipline when they turn a manual response pattern into an automated one.
How to prioritise the first automation backlog
Use a simple ranking model: favour workflows that are frequent, well documented, low risk to execute, and easy to measure. The best early candidates are usually tasks where the result is obvious, such as route, enrich, assign, or quarantine, because you can compare the automated outcome against the manual baseline without much debate.
Then look at operational drag. If a task consumes analyst time but does not require creative investigation, it is a strong automation candidate. If a task requires frequent escalation, many one-off exceptions, or judgment calls that differ by case, it should remain human led until the process stabilises.
Alert handling prioritisation should also account for downstream dependencies. A workflow may look simple at the alert layer but still depend on unreliable data, inconsistent asset tags, or incomplete ownership records. In that situation, improve the inputs first or automate only the parts that are already trustworthy. For prioritisation of security work more broadly, CISA Known Exploited Vulnerabilities Catalog is a useful example of focusing effort where the operational value is clearest, even though the final automation decision still has to come from the team’s own workflow analysis.
Risk and Threat Considerations
Automating alert handling can create a false sense of confidence if the underlying rules are wrong or the alert data is noisy. The main risk is not that automation exists, but that it executes quickly at scale, which can turn a small logic error into repeated misclassification, missed containment, or unnecessary disruption.
Failure mechanism: The workflow is automated before the team understands its exceptions, so the playbook applies a narrow rule set to alerts that actually require context, validation, or escalation.
Impact: False positives can be over-handled, true positives can be ignored, and analysts can lose trust in the automation. In the worst case, a rushed automated response can interrupt legitimate activity or leave an incident uncontained because the wrong branch was triggered.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
CIS Controls v8, 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 |
|---|---|---|
| CIS Controls v8 | CIS-8 — Audit Log Management | SOAR workflows depend on reliable alert visibility and case evidence. |
| Recommendation — Centralise and review alert telemetry so automations act on trustworthy events. | ||
| NIST CSF 2.0 | PR.AA-05 — Identity and Access Management | Automated response often executes privileged actions and needs bounded access. |
| DE.CM-01 — Monitoring for Unauthorized Activity | Alert handling automation is a monitoring-to-response workflow driven by detected events. | |
| Recommendation — Limit automated playbooks to the minimum permissions needed for each action. Tune detection sources so SOAR triggers only on validated security signals. | ||
| NIST SP 800-53 Rev 5 | AU-6 — Audit Review, Analysis, and Reporting | Automated alert handling should still support reviewable evidence and response traceability. |
| IR-4 — Incident Handling | SOAR automates parts of incident handling and response coordination. | |
| Recommendation — Preserve case evidence and review outputs for every automated response path. Use incident handling procedures to define which response steps are safe to automate. | ||
Practitioner Guidance
What to prioritise: Start with alert workflows that already have a clear owner, a repeatable sequence, and a measurable outcome. The first automation targets should usually be enrichment and routing, because they are easy to validate and less likely to create unsafe side effects.
Decision rule: If analysts can describe the workflow in a small number of deterministic steps, automate it; if the decision depends on frequent case-by-case interpretation, keep it human led until the exception handling is understood.
What to verify: Before promoting a workflow, verify that the inputs are accurate, the failure path is visible, and a human can override or stop the automation when the context changes. A pilot should prove that the automated result matches the manual result often enough to be trusted.
Practitioner takeaway: The best first SOAR use cases are the ones that remove repetitive handling without removing judgement, so the automation should speed up known work, not guess at uncertain work.
Related resources from NHI Mgmt Group
- How should security teams decide whether SOAR or AI SOC analysts should handle alert investigation first?
- How do teams decide which custom checks are worth automating first?
- How should security teams decide which workflows should stay in SOAR?
- How do security teams decide when AI SOC automation is appropriate for tier-1 alert handling?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
