UNIVERSITY · LESSON · PUBLISHED 14 JULY 2026
How an AI SOC investigates an alert, step by step
Cyber AI Comparison team · Last checked September 2026 · Editorial assessment
Published 14 July 2026
3 min read
What to know
An AI SOC platform takes an alert, decides what it is, gathers evidence from connected tools, reaches a verdict and proposes or takes a response within limits you set. The difference from a SOAR playbook is that the agent chooses the lookups at run time instead of following steps written in advance.
Step 1: the alert arrives
Alerts come from the tools you already run: SIEM, EDR, identity, email and cloud. The AI SOC platform reads them through integrations, the same way a SOAR does. What it can investigate depends on what it is connected to, which is why integration lists matter.
Step 2: triage
The platform classifies the alert: what kind it is, how urgent it looks and whether it matches something already known. Many alerts are closed here, with a stated reason. In a SOAR, this step is a playbook trigger and a set of rules.
Step 3: gathering evidence
This is where the approaches differ most. A playbook runs the lookups its author wrote for that alert type. An agent decides which lookups this alert needs: the user's recent sign-ins, the process tree on the host, the sender's history, the owner of a cloud resource. Several platforms also consult stored context about the organisation, such as how similar alerts were decided before (see context graph).
Step 4: the verdict
The investigation ends with a verdict, such as benign, suspicious or malicious, and the evidence behind it. Platforms differ in how much of the reasoning they show. 7AI says you can read each agent's mission, the tools it ran, the exact request and response, and the conclusion it drew. Lesson 3 covers how to read a verdict.
Step 5: response
Depending on the autonomy level you set, the platform recommends an action, runs low-risk steps and asks for approval on the rest, or acts on its own for trusted categories. Some platforms hand response to your SOAR instead: Dropzone AI, for example, executes response through connected SOAR platforms. Lesson 2 covers autonomy levels.
Where can an investigation go wrong?
Each step has its own failure. Intake fails when a source is not connected, so the alert never arrives or arrives without the fields the agent needs. Triage fails when a real threat looks like a known benign pattern. Evidence gathering fails when a lookup times out or a tool returns partial data, and the agent reaches a verdict on what it has. A good platform says which lookups failed or were skipped, so the analyst knows what the verdict does not rest on. When you test a platform, look at its failed and partial investigations as closely as its successes.
Next lesson: MITRE ATT&CK, D3FEND and NIST