AI SOC vs SOAR: automation versus investigation
SOAR automates the steps you can script; an AI SOC does the investigation you cannot. SOAR runs fixed playbooks fast and consistently. An AI SOC reads the actual evidence behind an alert, reasons across sources, and writes up a verdict a human can check — including for alerts nobody wrote a playbook for. Here is how the two differ, and why most teams end up wanting both.
What SOAR does
SOAR — security orchestration, automation and response — executes predefined workflows. You build a playbook: when this alert fires, enrich it with these lookups, open a ticket, post to a channel, and if a condition is met, take an action. Run well, it removes repetitive manual steps and enforces a consistent process.
Its strength is also its limit. A playbook only does what it was scripted to do. It cannot reason about an alert it has not seen, weigh ambiguous evidence, or explain why a signal matters. It follows the branch you wrote, or it stops.
What an AI SOC does
An AI SOC investigates. When an alert fires, it pulls the relevant logs, correlates signals across sources, resolves the affected entities, maps the activity to MITRE ATT&CK, and returns a plain-language verdict with the evidence behind it — typically in under two minutes, on every alert. It reasons about the specific case in front of it rather than matching a fixed rule.
The output is a written investigation a human can audit line by line, not a workflow result. Where a playbook produces "condition met, action taken", an AI SOC produces "here is what happened, here is the evidence, here is how sure I am, and here is what I would do".
The core difference: fixed rules versus reasoning
This is the line that matters. Automation executes predefined steps; an AI SOC investigates and explains. A SOAR playbook is deterministic and blind to anything off its path. An AI SOC reads the evidence and reasons, which is exactly what triage of a novel or ambiguous alert requires.
- Coverage: SOAR handles the alerts you scripted for; an AI SOC investigates every alert, scripted or not.
- Reasoning: SOAR matches conditions; an AI SOC correlates evidence and explains its verdict.
- Output: SOAR produces a workflow result; an AI SOC produces an auditable, sourced investigation.
- Change cost: SOAR needs a new playbook for each new case; an AI SOC generalises to cases it has not seen.
Where SOAR still wins, and how they work together
SOAR is the better tool for deterministic, repeatable orchestration: standardised enrichment, ticket routing, notifications, and well-understood response steps that you genuinely want to run the same way every time. That is real value an AI SOC does not replace.
The two are complementary. An AI SOC does the investigation and hands a human a sourced verdict and a recommended action; SOAR can carry out the mechanical steps around that decision. A common shape is AI SOC for triage and investigation, SOAR for the orchestrated response once a human approves.
How OwlSOC fits
OwlSOC is an AI SOC, not a SOAR platform. It connects read-only to Microsoft Sentinel, Microsoft Defender and AWS Security Hub, investigates every alert, and returns a hedged verdict — likely true positive, likely false positive, or uncertain and needs review — with an evidence-linked timeline. It recommends an action; a human on your team approves it before anything runs, and only on the write scopes you have granted.
It sits happily alongside a SOAR you already run. OwlSOC does the reasoning-heavy investigation SOAR cannot, and leaves the deterministic orchestration to the tool built for it. It starts with a £495, 30-day refundable pilot.
Frequently asked
What is the difference between an AI SOC and SOAR?
SOAR executes predefined automation playbooks; an AI SOC investigates alerts by reading the evidence and reasoning across sources. Automation runs fixed steps and cannot handle a case it was not scripted for; an AI SOC investigates every alert, including novel or ambiguous ones, and returns a sourced verdict a human can check.
Does an AI SOC replace SOAR?
No. They do different jobs and work well together. SOAR is best for deterministic orchestration and repeatable response steps; an AI SOC is best for the investigation and triage that automation cannot reason through. Many teams run an AI SOC for triage and keep SOAR for the orchestrated response once a human approves.
Can OwlSOC run alongside my existing SOAR?
Yes. OwlSOC connects read-only to Microsoft Sentinel, Defender and AWS Security Hub and does the investigation, returning a hedged verdict and a recommended action for a human to approve. It does not replace your SOAR; it does the reasoning-heavy triage SOAR cannot, and leaves orchestration to it.
Why can't a SOAR playbook just do the investigation?
Because a playbook executes fixed, predefined steps and cannot reason about an alert it was not scripted for or weigh ambiguous evidence. Investigation of a novel or unclear alert needs reasoning over the actual logs, which is what an AI SOC does and a deterministic playbook cannot.
Start with a 30-day refundable pilot. £495, one environment, every alert investigated, a full report at week four. Read-only, live within 48 hours of access.