Which AI/ML model type is best suited for identifying anomalous network traffic without labeled data?

The correct answer is A. Unsupervised learning. Unsupervised learning excels at detecting anomalies in unlabeled datasets, making it ideal for spotting previously unseen malicious traffic patterns that traditional rules cannot catch.

SOC Automation and AI/ML Operations

Question

Options

AUnsupervised learning
BSupervised learning
CReinforcement learning
DManual rule creation

How the community answered

(60 responses)

A
73% (44)
B
15% (9)
C
3% (2)
D
8% (5)

Explanation

Unsupervised learning excels at detecting anomalies in unlabeled datasets, making it ideal for spotting previously unseen malicious traffic patterns that traditional rules cannot catch.

Topics

#unsupervised learning#anomaly detection#network traffic analysis#ML model selection

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