AI Agent for SOC Automation: How to Reduce Alert Queue Work

Where a SOC really hurts

A first-line analyst gets an alert from the EDR. Before judging whether it is a false positive, they check whose computer it is, whether the user works remotely, whether a similar alert came up before and how it was closed, and whether the asset is critical. Every alert means a few minutes of gathering context from several systems, and most end with closing.

The agent gathers this context on the alert: the asset's data from the CMDB, the user from the identity system, similar events from recent weeks and how they were closed. It proposes a classification with reasons and prepares a ticket. Do not start with a promise that AI will remove most false positives: the result depends on the quality of the rules, the telemetry and whether the team consistently describes the alerts it closes.

CISA describes automation in security operations as a strategy that starts with repeated, well-described steps. NIST describes the framework for incident response.

What it costs and when it pays back

The count covers the work around a case: searching, reading, writing and passing things on. What remains is the time to check the output, 40% of today's work in the scenario. Before the quote we measure both times on 20 to 100 cases the team has already handled, in a €0 test that takes 5 working days.

The count deliberately assumes the analyst still spends 40% of today's time on each alert. Gathering context disappears, and the assessment stays. The bigger gain is response time: an alert with complete context reaches a decision within minutes, without waiting in the queue. In a real incident, that matters most.

Compliance: what the auditor asks

The auditor asks who took the decision, on what basis, and whether it can be reconstructed. The NIS2 Directive requires risk management and incident handling, and in the financial sector DORA applies too. An agent that proposes and records its reasons makes the answer easier. An agent that responds on its own without a trail makes it harder. Logs that hold personal data also need retention rules under the GDPR.

Where to start

The pilot covers a few classes of alerts in observation mode: the agent proposes a classification for closed alerts, and the team compares it with its own decision. We build this as part of AI agents. For the free process review, a description of one case from recent weeks and the tools it ran through is enough. You do not need to send confidential documents, and you get a written plan within 2 working days.