How does machine learning improve the detection of unauthorized network access?

The correct answer is C. It identifies patterns indicating intrusions.. Machine learning helps in detecting unauthorized network access by analyzing vast amounts of network traffic data and recognizing unusual patterns or anomalies that may indicate an intrusion. It can adapt over time as it learns new threat signatures and behaviors, making detectio

Submitted by skyler.x· Mar 5, 2026Security Fundamentals

Question

Options

AIt monitors for outdated software.
BIt dictates security policy updates.
CIt identifies patterns indicating intrusions.
DIt assigns security clearance levels.

How the community answered

(27 responses)

A
4% (1)
C
96% (26)

Explanation

Machine learning helps in detecting unauthorized network access by analyzing vast amounts of network traffic data and recognizing unusual patterns or anomalies that may indicate an intrusion. It can adapt over time as it learns new threat signatures and behaviors, making detection faster and more accurate than static rule-based systems.

Topics

#machine learning#intrusion detection#network security#behavioral analysis

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