AI/ML

What is the primary advantage of using AI/ML in cybersecurity?

• Increased vulnerability to cyber-attacks

• Improved accuracy in threat detection and response

• Decreased complexity of security measures

• Slower response time to security incidents

Which of the following is NOT a common application of Machine Learning (ML) in cybersecurity?

• Malware detection

• Network intrusion detection

• Patch management

• User behavior analysis

Which AI approach is best suited for identifying patterns in large datasets to detect potential security threats?

• Reinforcement learning

• Genetic algorithms

• Machine learning

• Deep learning

Which aspect of cybersecurity is AI/ML NOT commonly applied to?

• Threat hunting

• Data encryption

• Vulnerability management

• Network traffic analysis

Which of the following is NOT a challenge in the application of AI/ML in cybersecurity?

• Lack of skilled personnel

• Overreliance on AI/ML without human oversight

• Inability to analyze large datasets

• Adversarial attacks against AI/ML systems

How does supervised machine learning differ from unsupervised machine learning?

• Supervised learning requires labeled data, while unsupervised learning does not.

• Unsupervised learning requires labeled data, while supervised learning does not.

• Both require labeled data.

• Both do not require labeled data.

What is the main objective of supervised machine learning?

• To discover patterns and structures in data

• To make predictions or classifications based on labeled data

• To group similar data points together

• To analyze data without prior labels

Which of the following is an example of supervised learning?

• Clustering customer data into groups based on similarities

• Predicting house prices based on features like square footage and location

• Identifying anomalies in network traffic

• Segmenting customers into groups without prior labels

What is the primary goal of unsupervised machine learning?

• To classify data into predefined categories

• To predict future outcomes based on historical data

• To discover hidden patterns or structures in unlabeled data

• To make decisions based on labeled data

Which of the following is an example of unsupervised learning?

• Training a model to recognize handwritten digits

• Identifying fraudulent transactions in a dataset with labeled examples

• Grouping similar news articles together based on their content

• Predicting customer churn based on historical data