What is Anomaly Detection in Security
Search for unusual actions, events, or network activity that may indicate an attack, leak, or compromise.
Definition
In security, an anomaly is not just a rarity, but a signal of a possible threat. AI can analyze logins, network traffic, user actions, file access, and application behavior. The goal is to spot anything suspicious before the damage becomes serious.
Example
An employee usually logs into the system during the day from one city, and at night there is a login from another country and a bulk upload of files.
Why it matters
The term is important for companies where there are a lot of events and manual analysis is impossible: AI helps to identify suspicious things from a large stream of logs.
How it works
The model builds a profile of normal behavior and compares new events with it. If there is a strong deviation, it generates a warning or triggers an additional check.
Where it is used
- cybersecurity
- log monitoring
- protecting accounts and data
Limitations
Many false positives tire the security team. We need context, prioritization, and connections to other data sources.