HPE2-W07 · Question #164
Which aspect of the Aruba 360 Secure Fabric uses machine learning to detect attacks and malicious behavior on the inside of the network?
The correct answer is A. Aruba IntroSpect. Aruba IntroSpect is the User and Entity Behavior Analytics (UEBA) component of the Aruba 360 Secure Fabric that applies machine learning to baseline normal behavior and detect anomalies, insider threats, and compromised devices operating within the network - making it the…
Question
Which aspect of the Aruba 360 Secure Fabric uses machine learning to detect attacks and malicious behavior on the inside of the network?
Options
- AAruba IntroSpect
- BAruba Mobility Master
- CAruba ClearPass
- DAruba VisualRF
How the community answered
(48 responses)- A83% (40)
- B10% (5)
- C2% (1)
- D4% (2)
Explanation
Aruba IntroSpect is the User and Entity Behavior Analytics (UEBA) component of the Aruba 360 Secure Fabric that applies machine learning to baseline normal behavior and detect anomalies, insider threats, and compromised devices operating within the network - making it the correct answer for east-west threat detection.
Why the distractors are wrong:
- B. Aruba Mobility Master is a centralized WLAN controller/management platform for access points and mobility controllers - not a threat-detection engine.
- C. Aruba ClearPass handles network access control (NAC), policy enforcement, and authentication - it controls who gets in, not behavioral analysis of what's already inside.
- D. Aruba VisualRF is an RF planning and visualization tool for mapping Wi-Fi coverage - it has no security analytics function.
Memory tip: Think of IntroSpect as "introspection" - it looks inward at internal network behavior, using ML to spot bad actors already inside the perimeter. The "Intro" prefix hints at internal/inside threat detection.
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