A company wants to reduce the number of phishing emails that reach employees. They have a large dataset of historical emails labeled as phishing or legitimate. Which AI approach is most appropriate for this task?

Use a clustering algorithm to group emails without labels

Deploy a simple blocklist of known phishing sender addresses

Implement a rule that flags any email with a link

Train a supervised machine learning classifier on the labeled email dataset

A company wants to automatically identify new malware variants that share similarities with known malware families. They have a large collection of labeled malware samples. Which AI approach is most appropriate?

Use a clustering algorithm to group unlabeled files

Train a supervised classifier on the labeled malware samples to classify new files

Manually reverse-engineer each new file

Use a simple hash-based blocklist of known malware files

How does AI assist in phishing prevention?

AI automatically deletes all emails containing links.

AI analyzes email content and sender behavior to flag messages that are likely phishing attempts.

AI physically blocks all incoming emails from unknown senders.

AI encrypts all outgoing emails to prevent interception.

An organization wants to detect insider threats where employees access files they do not normally use. Which AI technique is best suited for this use case?

Signature-based malware scanning

Natural language processing of emails

Behavioral analysis of user access patterns

EC-CouncilArtificial Intelligence Essentials

Domain 2Objective 6

AI for Security Threat Detection AIE Practice Questions (Page 1)

Part of the Everyday AI Tools and Use Cases domain, which makes up ~28% of our current practice bank.

41questions here

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Questions 1–5

1application · medium
A security researcher is testing an AI-based malware detector. They find that by making tiny, imperceptible changes to a malicious file, the detector classifies it as benign. What is this attack called?
Select an answer first
2application · medium
A company wants to reduce the number of phishing emails that reach employees. They have a large dataset of historical emails labeled as phishing or legitimate. Which AI approach is most appropriate for this task?
Select an answer first
3application · medium
A company wants to automatically identify new malware variants that share similarities with known malware families. They have a large collection of labeled malware samples. Which AI approach is most appropriate?
Select an answer first
4foundation · easy
How does AI assist in phishing prevention?
Select an answer first
5application · medium
An organization wants to detect insider threats where employees access files they do not normally use. Which AI technique is best suited for this use case?
Select an answer first

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