An AI SOC analyst is software that uses an AI model to read every security alert first, decide which ones matter, and leave human analysts only the few that need a person. An AI model here is a program trained on large amounts of text, which can read an alert and write a summary of it. The software does alert triage, the first sorting of alerts that junior analysts used to do by hand.
The problem it solves is attention. A large company can receive tens of thousands of alerts a day. In a security operations centre (SOC), the scarcest resource is not the store of logs but the person reading it. Most alerts are harmless, for example an employee who typed the wrong password three times. But a tired analyst at the end of a night shift can miss the one alert that matters among them.
Here is what the AI SOC analyst does with each alert from the SIEM. It collects the context: who the user is, which device is involved, and whether the address involved belongs to a known attacker. It asks the endpoint detection and response (EDR) software what else ran on the laptop. Then it writes a short summary in plain English, gives the alert a priority, and drafts a response, such as "disable this account and isolate this laptop".
Take, for example, a share-broking company in Bengaluru that receives 6,000 alerts on a busy Monday. The AI SOC analyst closes about 5,900 of them as harmless, with a written reason for each one. One of the others says that a dealer's account has logged in from Singapore. The software checks the login records: the same account logged in from the Bengaluru office 20 minutes earlier. The Singapore login also came from a device that the account has never used. Nobody can travel that fast, so the password has probably been stolen. The software puts this alert at the top of the queue and drafts: "Disable this account and ask the dealer to set a new password."
The model does not take serious action on its own. It drafts the response, and a person approves it. This pattern is called human in the loop. After the analyst approves, SOAR runs the steps. Contractors that watch alerts for many companies, through managed detection and response (MDR), use the same kind of software, because they read more alerts than any one company does. Banks use similar software to sort money-laundering alerts in AML case management.