700-765 · Question #61
What is key feature of Cognitive Threat Analytics?
The correct answer is B. It improves threat detection over time with machine learning. Cognitive Threat Analytics (CTA) uses machine learning to continuously refine and improve its ability to detect threats over time based on observed network behavior.
Question
What is key feature of Cognitive Threat Analytics?
Options
- AIt enables safe email usage with event Analytics
- BIt improves threat detection over time with machine learning
- CIt enhances anonymity with URL filtering
- DIt enables greater endpoint device profiling intelligence with entity modeling
How the community answered
(34 responses)- B91% (31)
- C6% (2)
- D3% (1)
Why each option
Cognitive Threat Analytics (CTA) uses machine learning to continuously refine and improve its ability to detect threats over time based on observed network behavior.
Safe email usage with event analytics describes capabilities of email security solutions such as Cisco Secure Email, not CTA.
CTA applies machine learning to web traffic and behavioral data to baseline normal activity and identify anomalies, improving detection accuracy as it processes more data over time. This self-improving capability is the core design principle of CTA, distinguishing it from signature-based detection. It enables detection of unknown and advanced threats without relying solely on static rules.
URL filtering for anonymity is a function of web proxy or DNS-layer security tools like Cisco Umbrella, not CTA.
Endpoint device profiling with entity modeling describes capabilities of Cisco Identity Services Engine (ISE), not CTA.
Concept tested: Cognitive Threat Analytics machine learning capability
Source: https://www.cisco.com/c/en/us/products/security/cognitive-threat-analytics/index.html
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