Security teams face far more network and system activity than people can review. AI anomaly detection learns what normal behaviour looks like and flags deviations, such as a login from an odd place or an unusual burst of data transfer, that fixed rules might not catch.
The strength is spotting new or subtle patterns early, giving analysts a shorter list to investigate. The weakness is false alarms, since unusual is not always malicious, so the systems are tuned to balance missed threats against wasted effort. They work best as an assistant that surfaces candidates for a human expert to judge, not as an automatic gatekeeper.