Question 1

An organization deploys an AI-driven response system that prioritizes and automatically assigns alerts based on severity, containment status, and affected assets. Which use case does this describe?

Options :

A : Threat modeling

B : Pattern recognition

C : Incident management

D : Anomaly detection

Answer: C

Question 2

A company implements a security system that tracks how many requests users send to an AI model per minute. If a user exceeds the threshold, further requests are temporarily blocked. Which monitoring control does this represent?

Options :

A : Token tracking

B : Response confidence level

C : Rate monitoring

D : Input validation

Answer: C

Question 3

A threat intelligence system correlates IP logs, DNS requests, and dark web chatter to automatically detect coordinated cyber threats. Which two AI techniques are combined here?

Options :

A : Reconnaissance

B : Social engineering

C : Automated data correlation

D : Anomaly detection

Answer: A,C

Question 4

An organization deploys an AI engine that scans applications and identifies unpatched libraries, weak encryption methods, and insecure configurations. Which use case does this represent?

Options :

A : Code quality and linting

B : Vulnerability analysis

C : Automated penetration testing

D : Signature matching

Answer: B

Question 5

An enterprise is implementing security controls for unstructured data in their AI system. Which measures specifically address unstructured data security challenges? (Select TWO)

Options :

A : Hidden content detection using steganalysis and metadata examination

B : Normalizing all data to third normal form

C : Content authentication using perceptual hashing to detect tampering

D : Implementing primary keys for all data items

Answer: A,C

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