“AI SOC” has become one of the fastest-growing searches in security this year. Ask five vendors what it means and you’ll get five answers. Here is the plain version, written for MSPs who have to decide whether it’s real and whether it fits how they work.
What is an AI SOC?
A security operations center (SOC) is the people and process that watch alerts, work out which ones are real, and respond. An AI SOC hands the first pass of that work to AI agents:
- Triage: reading each alert and deciding whether it’s noise, a known false positive, or worth a look.
- Investigation: pulling the sign-in history, the email, the process on the laptop, and joining them into one story.
- Context: checking threat information for anything new and whether the same signs appear at other clients.
- Response: taking the routine steps your rules allow, such as ending a stolen session, and asking a person before anything bigger.
The point isn’t to remove people. It’s to stop people spending their night on the alerts that never mattered, so they have time for the ones that do.
Why it’s taking off now
The problem it solves is old: there are more alerts than people to read them.
- SOC teams receive an average of 4,484 alerts a day, and 67% of them go unreviewed. (Vectra 2023 State of Threat Detection)
- 42% of cybersecurity leaders say they are piloting or using AI agents for threat detection and response, and another 46% plan to start within a year. (Gartner 2025 survey, as reported)
- Gartner also expects that by 2028, 70% of large SOCs will pilot AI agents, but only 15% will see measurable gains without a structured way to evaluate them. (Gartner, via Help Net Security)
That last number is the useful one. AI in the SOC works when it’s set up with clear rules and checked against results. Bolted on, it doesn’t.
What an AI SOC should and shouldn’t do
It should:
- Turn several alerts from one attack into one case, not three tickets.
- Explain what happened in plain words a tech, and a client, can read.
- Act only inside limits you set, per client, and keep a record of every step.
- Make each automatic action reversible, with an undo.
It shouldn’t:
- Take a destructive step, such as wiping a device or deleting mail, without a person approving it.
- Hide its reasoning. If it closes an alert as noise, you should see why.
- Need a 24/7 analyst team behind it to be useful. If it does, it’s a dashboard with a chatbot, not an AI SOC.
Why it matters more for MSPs
An in-house SOC watches one company. An MSP watches dozens, each with its own tools, people and risk appetite. That’s exactly where AI agents help most:
- One queue across every client. The work arrives as cases, sorted by what they’d touch: one user, one laptop, or a whole tenant.
- Rules per client. A dental office and a law firm don’t want the same automatic actions. You set how far the agents can go for each.
- Night coverage without night staff. Routine containment happens at 2 am; the decisions that need a person wait for the morning, with the evidence attached.
How to judge an AI SOC before you buy
- Ask for a real case, end to end. Not a demo script: one incident from first alert to closed case.
- Check what it does on its own. Which actions are automatic, which ask first, and can you change that per client?
- Look for the undo. Every automatic step should be reversible.
- Read its explanations. Would your client understand the summary?
- Count the tickets. After a week, did your team get fewer, better cases, or just more alerts with AI labels?
How Centeye does it
Centeye Praxis is the operating layer above every Centeye product. Its agent Kavach diagnoses each alert, joins identity, email, endpoint and AI-app signals into one case, pulls in current threat information, and takes the steps your policy allows, each one reversible. Anything else waits in an approval queue with what will happen and how to undo it. Argus writes each client’s week in plain words for you to review before it goes out.
AI agents need supervising too: see what guardian agents are and how the Praxis guard agent works. See how it works, or read how an MSP runs 24/7 security without a 24/7 team. Want to see it on your own clients? Start a free trial or book an intro call.
Figures cited from the Vectra 2023 State of Threat Detection report and Gartner research on AI agents in security operations (2025), as reported by Help Net Security.