Skip to content
Back to the learning center

How an AI SOC compares with a traditional SOC

A traditional SOC runs on tiers, shifts and handovers; an AI SOC puts an agent on the first look. Here is where each is strong, how they fit together and how to count what the first look costs you today.

Traditional SOCOne analyst, in arrival orderLooked atPort scan from a printerHarmlessLocal accounts listedSuspiciousBackup copied filesNewArchive made by handNewAdmin logon at 02:10NewScript fetched a fileNewFiles staged in /tmpNewUpdate agent beaconNewNew cron entryNewDNS to new domainNewOutbound to rare hostNewFailed logons, then oneNew+ 6 more waiting10 waitingWith armor360Each one looked into as it landsSorted for your teamProcessNetworkUserIntelPort scan from a printerHarmlessLocal accounts listedSuspiciousBackup copied filesAuthorisedArchive made by handReal attackAdmin logon at 02:10AuthorisedScript fetched a fileSuspiciousFiles staged in /tmpReal attackUpdate agent beaconHarmlessNew cron entrySuspiciousDNS to new domainHarmlessOutbound to rare hostReal attackFailed logons, then oneHarmless+ 7 more, all looked into0 waiting
Illustrated example: the same twelve overnight alerts, read by one analyst, and looked into by armor360. People still decide what to do.

How a traditional SOC is organised

Many SOCs are built in tiers. Tier one analysts watch the queue, take the first look at each alert and decide whether it needs more attention. Tier two analysts take what tier one passes up and investigate in depth. Tier three, often a small group of senior people, handles the hardest cases, hunts for threats no rule has found and improves detection.

Because attacks do not keep office hours, the queue has to be covered around the clock. That means shifts, or an outside provider for nights and weekends, and it means handovers. At the end of each shift, open cases and half-finished thoughts pass from one person to the next, in notes or a short conversation.

The model has lasted because it works. It puts newer staff on the high-volume work, saves experienced people for the cases that need them, and gives junior analysts a path to learn.

Where the traditional model is strong

People bring things to an investigation that are hard to write down. An experienced analyst knows which teams run odd jobs, which servers are fragile, and which kind of alert has meant trouble before. They can pick up the phone and ask the owner of a machine what they were doing. They notice when something is off in a way no rule describes.

People are also accountable in a way software is not. When a decision has consequences for the business, such as taking a system offline during trading hours, it matters that a named person made it with full knowledge of the situation.

  • Knowledge of the business and its people.
  • Judgement on unusual, high-stakes cases.
  • The ability to ask questions the data cannot answer.
  • Accountability for decisions that affect the business.

Where it strains

The strain falls on tier one. The first look at an alert is repetitive work: open the alert, find the machine, look up the user, search for related events, check an address against threat intelligence, write a note. It has to be done carefully every time, and much of the time it ends with nothing found. That combination wears people down, and it makes the role hard to keep people in.

Volume makes it worse. When alerts arrive faster than the queue can be cleared, analysts start to skim, close familiar-looking alerts without full checks, or let older alerts wait. Handovers add their own gaps. A detail noticed at two in the morning may not make it into the notes, and the next shift starts again from the alert.

Night cover is the hardest part to staff. Fewer people are on, those who are may be less experienced, and a slow look costs most when an attacker has chosen a quiet hour on purpose.

What an AI first look changes

An AI SOC moves the first look from tier one to an agent. The agent does not get tired, does not skim at the end of a long shift and works the same way at three in the morning as at three in the afternoon. Each alert gets the same core checks, and the agent goes further when what it finds calls for it.

It also writes everything down. Every question it asked and every record it read is kept, so the record of the investigation does not depend on someone remembering to take notes. That changes handovers: the next person picks up a finished first read with its evidence, not an alert and a line of shorthand.

What it does not change is who decides. The agent’s output is a verdict and a recommendation. The analyst reviews it, agrees or corrects it, and the decisions that affect the business stay with people.

One night, looked into as it happenedIllustrated example
19:24Harmless
21:06Authorised
23:36Suspicious
02:14Real attack On call told
03:31Harmless
05:02Harmless
06:47Suspicious
08:00: seven investigations finished, one real attack already with the on-call person.
Each alert is investigated when it arrives. The real attack at 02:14 reaches the person on call; the rest wait for the morning with their verdicts written.

How the two work together

In practice the two models meet in the middle. The agent takes the first look at everything. People review its verdicts, starting with those it calls real attacks or suspicious, and check a sample of the ones it calls harmless. Their corrections feed back, so the agent learns the company’s habits over time.

The tiers do not vanish, but their work shifts. Junior analysts spend more time reviewing evidence and less time gathering it, which is closer to the skill they need to grow. Senior analysts get more time for hunting and detection, because fewer routine cases reach them. At night and at weekends, the agent works the queue and the person on call starts from finished investigations.

The gain is consistency as much as speed. Each alert gets a real look, including the ones that would have been closed on sight at the end of a busy shift.

Counting the cost of the first look

The first look is paid for in staff hours, and it is worth counting them for your own team before comparing options. The sum is simple. Multiply alerts by minutes and divide by sixty to get hours of first look a day. Multiply that by the hourly cost for the daily cost, and by the working days in a year for the annual figure. Then add what a simple count misses: the night and weekend cover you pay for whether alerts arrive or not, and the time spent on handovers.

Compare that with what the alternative costs, and with what it leaves your people to do. A first look that is cheaper but leaves analysts checking each verdict all over again saves little. One that hands over a verdict with evidence a person can check quickly changes the sum.

You need four numbers, all from your own records:

  • How many alerts reach a person each day.
  • How many minutes a first look takes on average.
  • What an hour of an analyst’s time costs, with overheads.
  • What you pay for shift cover, regardless of volume.

Where armor360 fits

armor360 is built for the first look. It collects alerts from Elastic Security, Splunk, Microsoft Sentinel, CrowdStrike Falcon or Microsoft Defender, investigates each one, and hands a person a verdict with its confidence and evidence. It recommends; people decide and act.

Its running cost is about $0.10 of compute per investigation, an estimate of what it costs to run rather than a price. Pricing is by quote, sized to what you protect, with no charge per person, and the calculator on the pricing page works through the staff-hours sum above on numbers you can change.

Questions people ask

Do we still need tiers if we adopt an AI SOC?

You still need people at different levels of experience, but the line between the tiers moves. The agent does most of the gathering that used to fill tier one. People at every level spend more of their time reviewing verdicts, deciding what to do and improving detection.

Many teams find it useful to keep a clear owner for reviewing the agent’s verdicts each shift, so nothing it raises waits unread.

How does an AI SOC compare with an MDR service?

An MDR service is an outside team that watches your alerts for you, and many MDR providers also take actions on your systems under an agreement. An AI SOC is a tool your own team, or your provider’s team, uses to investigate alerts faster.

They answer different questions: who does the work, and how. armor360 is a tool, not a service that acts for you. It recommends, and people decide and act. A managed security provider can use it to work its customers’ alerts.

What happens to alerts at night?

With an AI first look, alerts that arrive at night are investigated as they arrive, the same way as during the day. Verdicts are ready when a person looks.

What still needs planning is who is on call and how they are reached when the agent finds something serious. armor360 can send findings to Slack, Microsoft Teams, PagerDuty or email, so the right person hears about an urgent finding without watching the queue all night.

How do we measure how long a first look takes today?

Most ticketing and case tools record when an alert was opened and when it was closed or passed on. A month of that history gives a usable average. Treat it with care: the clock often runs while an analyst is doing something else.

For a sharper figure, ask analysts to time a sample of first looks for a week, from opening the alert to writing the verdict. Keep harmless and real alerts separate, because they rarely take the same time.

See where your team’s time goes. Then decide.

Start a free pilot on your own alerts, or put in your own numbers first.