What should organisations do first when they cannot scale the SOC by hiring more staff?

Start with workflow automation, not headcount

If a SOC cannot scale by hiring more people, the first question is not who to add, but which work is consuming analyst time without adding judgement. Repetitive, rules-based activity is the best automation target because it creates queue pressure without improving decisions. Case routing, alert enrichment, deduplication, and standard escalation checks usually belong at the top of that list.

Automation works best when the process is already understandable, repeatable, and measurable. If the team cannot describe the decision rule in plain language, the step is probably too ambiguous to automate safely. That is why the first move is to separate deterministic tasks from investigative work that still needs analyst interpretation.

For teams that want a practical starting point, SANS Security Resources is a useful place to compare SOC operating patterns and common automation use cases. The point is not to copy a toolchain, but to identify where manual effort is still being spent on low-judgement work.

Which SOC tasks usually give the fastest return

The highest-value first candidates are the steps that repeat across large volumes of alerts and have predictable outcomes. Enrichment is a strong example, because analysts often need the same asset, user, threat-intel, ticket, and context data for every case. Routing is another, because many alerts can be sent to the right queue based on severity, source, or rule family before a human ever sees them.

Escalation logic is also worth automating early when it is based on explicit thresholds or well-defined conditions. That keeps senior analysts from triaging the same low-value items repeatedly and helps the SOC focus on exceptions, not administration. Routine investigation steps, such as checking whether an alert matches a known benign pattern, are often the next layer to automate.

For organisations looking at the defensive control side of this problem, MITRE D3FEND is helpful because it frames common defensive actions as reusable countermeasures. That makes it easier to map routine SOC work to specific automatable actions rather than treating every alert as a fresh manual task.

How to avoid automating the wrong part of the SOC

The most common mistake is automating urgency before automating repeatability. If a process still depends on subjective judgement, unclear ownership, or incomplete data, automation can simply move confusion faster. The right first step is to standardise the workflow enough that the system knows what can be decided automatically and what must be routed for review.

That also means separating detection quality from process efficiency. A SOC may feel overloaded because of noisy alerts, but the fix is not always more automation in the detection layer. Sometimes the faster win is automating the handling layer so analysts spend less time on administrative work and more time on meaningful investigation.

For teams that need broader incident-response context, FIRST is a strong reference point for incident coordination practice. It helps anchor automation decisions in a response workflow that is still auditable, consistent, and assignable to the right team.

Risk and Threat Considerations

Manual SOC work does not just slow response, it creates concentration risk when a small number of analysts become the bottleneck for every repetitive decision. That increases queue depth, delays triage, and makes it easier for true incidents to hide inside alert noise.

Failure mechanism: repetitive handling steps stay manual, so simple alerts accumulate faster than analysts can process them, while attackers benefit from slower escalation and weaker consistency in low-complexity decisions.

Impact: missed priority shifts, slower containment, higher analyst fatigue, and lower confidence that the SOC can absorb growth without degrading response quality.

Practitioner Guidance

What to prioritise: start with the highest-volume, lowest-judgement tasks that repeat every day, then measure how much analyst time they consume before and after automation. If a step is frequently repeated and has a stable rule set, it is a strong candidate; if it depends on interpretation, keep a human in the loop.

What to verify: confirm that the automated step has clear inputs, a documented decision rule, and an exception path. If the team cannot explain why the automation made a routing or enrichment decision, the control is not ready for production use.

Practitioner takeaway: the goal is not to automate the SOC wholesale, but to remove friction from the parts that do not require judgement so experienced analysts stay focused on decisions that actually reduce risk.

Related resources from NHI Mgmt Group

• How do organisations operationalise NHI ownership at scale?
• Should organisations prioritise external exposure or internal credential governance first?
• How do organisations reduce the dwell time of exposed credentials at scale?
• What should organisations do first when they are trying to improve exposure management at scale?