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AI in Cybersecurity & Threat Detection MCQs with Answers

What role does AI play in cybersecurity?
a) Replacing human workers
b) Automating repetitive tasks
c) Detecting threats and anomalies in real-time
d) Decreasing system performance

Answer
c) Detecting threats and anomalies in real-time

Which AI technology is commonly used to detect cybersecurity threats?
a) Natural Language Processing (NLP)
b) Machine Learning (ML)
c) Image Recognition
d) Blockchain

Answer
b) Machine Learning (ML)

What is the main advantage of using AI in threat detection?
a) AI can predict future events
b) AI can handle large volumes of data and identify patterns faster than humans
c) AI can replace all security analysts
d) AI can store sensitive data securely

Answer
b) AI can handle large volumes of data and identify patterns faster than humans

How does machine learning improve cybersecurity?
a) By making passwords stronger
b) By learning from past data to identify patterns and detect new threats
c) By encrypting sensitive information
d) By monitoring internet traffic

Answer
b) By learning from past data to identify patterns and detect new threats

Which of the following is a key benefit of using AI for automated incident response in cybersecurity?
a) Reducing human intervention in security protocols
b) Eliminating the need for security monitoring tools
c) Increasing the risk of data breaches
d) Improving response time and accuracy in detecting threats

Answer
d) Improving response time and accuracy in detecting threats

Which AI technique is widely used to identify phishing attempts?
a) Natural Language Processing (NLP)
b) Image recognition
c) Neural networks
d) Blockchain

Answer
a) Natural Language Processing (NLP)

How does AI assist in identifying advanced persistent threats (APTs)?
a) By automating software updates
b) By detecting long-term, subtle changes in network activity
c) By slowing down network traffic
d) By monitoring only known malware signatures

Answer
b) By detecting long-term, subtle changes in network activity

Which AI technique is used to analyze large datasets for potential cybersecurity risks?
a) Computer Vision
b) Clustering
c) Data Mining
d) Natural Language Generation

Answer
c) Data Mining

What is the primary function of anomaly detection in AI-based cybersecurity?
a) To identify and block all types of traffic
b) To detect deviations from normal behavior that may indicate a security breach
c) To prevent the encryption of sensitive data
d) To automatically back up data

Answer
b) To detect deviations from normal behavior that may indicate a security breach

Which of the following is an example of AI-based security automation?
a) Automatically blocking malicious IP addresses
b) Generating complex passwords
c) Encrypting sensitive data in real-time
d) Updating software applications

Answer
a) Automatically blocking malicious IP addresses

What type of machine learning model is commonly used for classification tasks in cybersecurity?
a) Linear regression
b) Support vector machines
c) Decision trees
d) K-means clustering

Answer
c) Decision trees

Which of the following cybersecurity threats can be mitigated by using AI-based threat detection systems?
a) Phishing
b) Distributed Denial of Service (DDoS) attacks
c) Malware and ransomware
d) All of the above

Answer
d) All of the above

What is the primary purpose of using AI in cybersecurity risk assessment?
a) To replace manual risk assessment methods
b) To identify new and unknown vulnerabilities by analyzing patterns and behaviors
c) To eliminate the need for human oversight
d) To create more complex passwords

Answer
b) To identify new and unknown vulnerabilities by analyzing patterns and behaviors

How does AI help in mitigating insider threats in cybersecurity?
a) By monitoring user activities and detecting abnormal behavior
b) By blocking all employee access to sensitive data
c) By automating all network defenses
d) By encrypting all communication channels

Answer
a) By monitoring user activities and detecting abnormal behavior

Which AI-based method is used for malware detection in cybersecurity?
a) Signature-based detection
b) Behavior-based detection
c) Traffic analysis
d) Content filtering

Answer
b) Behavior-based detection

What is the main challenge when applying AI to cybersecurity?
a) AI’s ability to learn from massive amounts of data
b) The constant need for human intervention
c) Ensuring AI systems can adapt to new and evolving threats
d) The high cost of implementation

Answer
c) Ensuring AI systems can adapt to new and evolving threats

How do AI systems improve the efficiency of a Security Information and Event Management (SIEM) system?
a) By manually checking every log entry
b) By automating log analysis and detecting potential threats in real-time
c) By reducing the need for encryption
d) By backing up data automatically

Answer
b) By automating log analysis and detecting potential threats in real-time

Which of the following AI-driven cybersecurity tools helps prevent zero-day attacks?
a) Antivirus software
b) Intrusion Detection Systems (IDS)
c) Machine learning models that identify abnormal behavior and unknown threats
d) Email filtering tools

Answer
c) Machine learning models that identify abnormal behavior and unknown threats

Which technique does AI use to improve phishing detection?
a) Analyzing email content for suspicious patterns
b) Monitoring network traffic for abnormal activity
c) Blocking access to all external emails
d) Scanning files for malware

Answer
a) Analyzing email content for suspicious patterns

Which type of machine learning model can be used for malware classification?
a) Unsupervised learning
b) Reinforcement learning
c) Supervised learning
d) Deep learning

Answer
c) Supervised learning

How does AI in cybersecurity help in handling false positives?
a) By ignoring all potential threats
b) By automatically blocking all detected threats
c) By reducing the number of false alerts through continuous learning and optimization
d) By increasing manual intervention to verify each alert

Answer
c) By reducing the number of false alerts through continuous learning and optimization

How can AI assist in protecting critical infrastructure from cyberattacks?
a) By physically securing the hardware
b) By predicting potential vulnerabilities and automating responses to threats
c) By storing critical data in remote locations
d) By limiting access to the internet

Answer
b) By predicting potential vulnerabilities and automating responses to threats

What is the role of natural language processing (NLP) in AI-powered cybersecurity?
a) Analyzing network traffic
b) Identifying suspicious communications or phishing attempts in emails and messages
c) Encrypting data
d) Storing cybersecurity information

Answer
b) Identifying suspicious communications or phishing attempts in emails and messages

How does AI help in reducing human errors in cybersecurity?
a) By automating repetitive tasks and decision-making processes
b) By replacing human workers
c) By removing all security protocols
d) By increasing the complexity of cybersecurity policies

Answer
a) By automating repetitive tasks and decision-making processes

Which of the following is a common application of AI in detecting fraud?
a) Monitoring bank transactions for unusual patterns
b) Encrypting all user data
c) Blocking access to financial accounts
d) Disabling financial applications

Answer
a) Monitoring bank transactions for unusual patterns

How does AI assist in preventing Distributed Denial of Service (DDoS) attacks?
a) By blocking all incoming traffic
b) By analyzing traffic patterns and automatically blocking malicious requests
c) By encrypting data in real-time
d) By slowing down network speed

Answer
b) By analyzing traffic patterns and automatically blocking malicious requests

What is the main advantage of AI-based predictive threat intelligence?
a) Identifying potential threats before they occur
b) Encrypting all incoming network traffic
c) Reducing network speed
d) Storing data in the cloud

Answer
a) Identifying potential threats before they occur

How do AI-based systems improve the detection of advanced malware?
a) By using traditional signature-based detection methods
b) By analyzing the behavior of software and detecting anomalies
c) By blocking all new files
d) By only scanning known threats

Answer
b) By analyzing the behavior of software and detecting anomalies

What is a key challenge when implementing AI in cybersecurity?
a) AI’s inability to detect malware
b) Difficulty in training AI systems to recognize evolving threats
c) Inability to process large amounts of data
d) High cost of AI-based solutions

Answer
b) Difficulty in training AI systems to recognize evolving threats

How can AI-based systems be used to improve cybersecurity posture?
a) By replacing all human security roles
b) By continuously learning from new data to improve threat detection
c) By blocking access to all third-party software
d) By slowing down response times to potential threats

Answer
b) By continuously learning from new data to improve threat detection

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