AI Quiz 7!

Question 1

What concept in cybersecurity AI relates to “model inversion attacks”?

Accepted Answer

Reconstructing training data from model outputs

Question 2

In the context of federated learning in cybersecurity, what is a poisoning attack?

Accepted Answer

Injecting malicious updates into the model from compromised clients

Question 3

Which algorithm is most commonly used in AI-powered intrusion detection systems for unsupervised learning?

Accepted Answer

k-Means Clustering

Question 4

What is the risk of using AI-generated honeypots in cyber deception strategies?

Accepted Answer

Adversaries may reverse-engineer the generative model to evade detection

Question 5

In Generative Adversarial Networks (GANs) used for phishing email generation, what role does the generator play?

Accepted Answer

Creates fake phishing content to fool the discriminator

Question 6

What does the term “adversarial perturbation” refer to in cybersecurity-focused neural networks?

Accepted Answer

Small, intentional input changes that mislead AI detection models

Question 7

What is the biggest limitation of AI-based malware detection systems in zero-day attacks?

Accepted Answer

Lack of labeled training data for novel threats

Question 8

What’s the main reason Reinforcement Learning (RL) is not widely adopted in real-time threat detection?

Accepted Answer

High computational cost and delayed reward feedback

Question 9

What is the primary mathematical foundation behind anomaly detection in AI-driven cybersecurity systems?

Accepted Answer

Bayesian Inference

Question 10

Which AI approach is most resistant to adversarial attacks in cybersecurity applications (as of 2025)?

Accepted Answer

Transformer-based architectures with adversarial training

Questions 10