AI-Driven Threat Intelligence

This chapter is from the book

AI-Powered Digital Cyber Resilience

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This chapter is from the book

This chapter is from the book 

AI-Powered Digital Cyber Resilience

Learn More Buy

Multiple-Choice Questions

These questions are designed to evaluate your understanding of the educational content related to AI-driven threat intelligence.

1. What was the primary advantage of unsupervised learning models in threat detection?

   1. They required less computing power.

   2. They were faster than supervised models.

   3. They could detect new threats without labeled attack data.

   4. They were more accurate than supervised models.

2. In the context of convolutional neural networks (CNNs) for malware analysis, what was the purpose of the ReLU activation function?

   1. To compress the data

   2. To introduce nonlinearity

   3. To speed up processing

   4. To reduce memory usage

3. What was the primary purpose of federated learning in threat intelligence?

   1. To increase processing speed

   2. To reduce storage requirements

   3. To preserve privacy while sharing threat data

   4. To improve model accuracy

4. Which of the following best describes the role of STIX in threat intelligence?

   1. A machine learning algorithm

   2. A standardized language for representing cyber threat intelligence

   3. A network monitoring tool

   4. A malware detection system

5. What was the primary advantage of autonomous AI agents in threat hunting?

   1. They were cheaper than human analysts.

   2. They could operate continuously and adapt their focus based on learning.

   3. They never made mistakes.

   4. They required no maintenance.

6. In the context of attack surface management (ASM), what was the main function of LangGraph?

   1. To coordinate multiple AI agents in a structured workflow

   2. To detect malware

   3. To generate threat reports

   4. To analyze network traffic

7. What was described as a significant challenge in implementing AI-driven threat intelligence?

   1. High hardware costs

   2. Lack of available training data

   3. Potential false positives requiring human verification

   4. Limited processing speed

8. What role did natural language processing (NLP) play in threat intelligence?

   1. Network monitoring only

   2. Malware detection only

   3. Analysis of unstructured text data from various sources

   4. Hardware optimization

9. What was the primary purpose of the TAXII protocol in threat intelligence?

   1. To analyze threats

   2. To detect malware

   3. To generate reports

   4. To secure the transport of threat data

10. What advantage did reinforcement learning provide in automated incident response?

    1. Faster processing speed

    2. Lower cost

    3. Optimization of response policies through learning from outcomes

    4. Reduced need for human analysts