Security analysts drown in alerts, AI wants the night shift

AI SOC is hot right now, and the biggest security vendors are moving in.

We've found a lot of interesting signals. Microsoft began including Security Copilot in Microsoft 365 E5, with agents that triage phishing alerts. And 7AI, founded by former Cybereason leaders, raised $130M in what it calls cybersecurity's largest Series A. AI is taking on routine security analyst work.

In this section, we look at why security teams are handing alerts to AI now, what changes when a big platform gives it away, and where that leaves the startups.

Security teams get more alerts than they can read, and most of them turn out to be nothing.

We compare six types of AI security operations tools, from alert triage to threat hunting. Then we rank what IT teams and managed security providers most need fixed: too many alerts, slow investigations and rising software bills.

This shows you which problems a SOC will pay to fix this year, and which ones it can live with a while longer.

Per-alert or per-investigation fees, per-endpoint licenses, platform subscriptions, usage-based AI credits, selling through managed security providers: AI SOC companies charge in very different ways.

We compare AI security analysts, full platforms and software sold through managed providers. Model costs rise with alert volume. Subscriptions are steadier, while channel partners take a share of revenue.

You'll see which models still make money when alert volumes jump, and which ones get squeezed when the big platforms bundle AI for free.

We give you a growth rate for AI SOC. This section explains what would make it happen.

Some drivers are plain to see: more alerts, too few analysts, and attackers who move faster with AI. Others build on each other. Managed security providers use AI to serve more clients with the same team. Each case an agent handles well makes the next one easier to hand over. And as trust grows, companies let agents take more actions on their own.

Before building or investing, you should know what convinces a security team to let AI do more of the work, and what makes it pull back.

Torq and Dropzone AI are the startup names people mention first in AI SOC, but there are many more.

Some of the most interesting players do one job very well. Some only hunt for threats in cloud accounts. Others write and test detection rules, or build AI agents for managed security providers that watch hundreds of clients at once.

They are hard to compare because every vendor now claims an AI analyst. One may only summarize alerts, another may close cases on its own, and few publish results you can check. Many also sell through managed providers, so their name never reaches the end customer.

Below, you'll find the market grids and ecosystem maps we've built to show who does what in the SOC, and where new players are breaking in.

Torq, Tines, Intezer… a few companies already run real security work for large customers. But none has yet shown that AI can replace a SOC team.

Torq and Tines started with security automation connected to customers' existing tools. Intezer specialized in analyzing malicious files. Each built on work security teams already needed, then added more AI.

We'll show how the strongest AI SOC companies earned analysts' trust one task at a time, and how they kept their place once the big platforms showed up.