AI in Cybersecurity: Protecting Systems with Artificial Intelligence MCQs

Questions (30)

1. What role does AI play in cybersecurity?

   • a) Automating data entry processes
   • b) Detecting and responding to security threats in real-time
   • c) Developing user-friendly interfaces
   • d) Managing network traffic
   View Answer

   Correct Detecting and responding to security threats in real-time

2. Which type of machine learning is commonly used to detect anomalies in cybersecurity?

   • a) Supervised Learning
   • b) Unsupervised Learning
   • c) Reinforcement Learning
   • d) Transfer Learning
   View Answer

   Correct Unsupervised Learning

3. How does AI-based intrusion detection improve security systems?

   • a) By automatically repairing vulnerabilities
   • b) By detecting patterns and identifying potential threats faster
   • c) By reducing the number of false positives in security alerts
   • d) By enhancing network performance
   View Answer

   Correct By detecting patterns and identifying potential threats faster

4. What is one key advantage of using AI for malware detection?

   • a) AI can predict which malware will be introduced into a network based on historical data
   • b) AI can replace traditional antivirus software
   • c) AI detects and removes malware based on human-created rules
   • d) AI helps in physical security measures
   View Answer

   Correct AI can predict which malware will be introduced into a network based on historical data

5. What is a major challenge of applying AI to cybersecurity?

   • a) High computational cost and resource consumption
   • b) Lack of availability of cybersecurity data
   • c) Inability to handle large volumes of traffic
   • d) Limited integration with traditional security tools
   View Answer

   Correct High computational cost and resource consumption

6. Which AI technique is commonly used for threat intelligence in cybersecurity?

   • a) Deep Learning
   • b) Decision Trees
   • c) Reinforcement Learning
   • d) Natural Language Processing (NLP)
   View Answer

   Correct Deep Learning

7. What does an AI-powered firewall do differently from traditional firewalls?

   • a) It manually checks each packet for malicious content
   • b) It uses machine learning to adapt to new threats and policies automatically
   • c) It encrypts all outgoing traffic
   • d) It runs only on dedicated hardware
   View Answer

   Correct It uses machine learning to adapt to new threats and policies automatically

8. What is the role of natural language processing (NLP) in AI-powered cybersecurity?

   • a) Enhancing encryption processes
   • b) Analyzing and interpreting large volumes of data in real-time
   • c) Assisting in the creation of secure passwords
   • d) Automating the handling of physical security systems
   View Answer

   Correct Analyzing and interpreting large volumes of data in real-time

9. Which AI technique is used in cybersecurity to automatically classify malicious files?

   • a) Clustering
   • b) Classification
   • c) Regression
   • d) Association rule learning
   View Answer

   Correct Classification

10. What does AI-based anomaly detection help identify?

    • a) Newly introduced applications in a system
    • b) Irregular patterns of behavior in user or system activity
    • c) Users with administrative privileges
    • d) Data backup processes
    View Answer

    Correct Irregular patterns of behavior in user or system activity

11. What is the role of deep learning in AI-driven cybersecurity solutions?

    • a) Deep learning helps to analyze and categorize user behavior patterns to detect potential threats
    • b) Deep learning is only used for training the AI model on large data sets
    • c) Deep learning improves system uptime during security attacks
    • d) Deep learning is used for encryption processes
    View Answer

    Correct Deep learning helps to analyze and categorize user behavior patterns to detect potential threats

12. How do AI-powered systems prevent social engineering attacks in cybersecurity?

    • a) By monitoring user activity and detecting suspicious patterns that may suggest manipulation
    • b) By automatically generating user passwords
    • c) By scanning emails for viruses
    • d) By blocking unknown senders
    View Answer

    Correct By monitoring user activity and detecting suspicious patterns that may suggest manipulation

13. Which AI technique is used to identify patterns in network traffic that may indicate a potential cyberattack?

    • a) Reinforcement Learning
    • b) Unsupervised Learning
    • c) Supervised Learning
    • d) Deep Learning
    View Answer

    Correct Unsupervised Learning

14. How does AI help in protecting sensitive information on cloud platforms?

    • a) By automatically creating encryption keys for data
    • b) By identifying and mitigating risks based on past attack data
    • c) By increasing server storage space
    • d) By controlling user access to cloud services
    View Answer

    Correct By identifying and mitigating risks based on past attack data

15. What is the purpose of AI-powered threat intelligence platforms?

    • a) To provide real-time alerts and insights based on historical attack patterns
    • b) To automatically block any external data requests
    • c) To send phishing emails to test user behavior
    • d) To stop all incoming traffic from the internet
    View Answer

    Correct To provide real-time alerts and insights based on historical attack patterns

16. Which AI technology is primarily used for enhancing password security in cybersecurity?

    • a) Natural Language Processing
    • b) Generative Adversarial Networks
    • c) Deep Learning
    • d) Reinforcement Learning
    View Answer

    Correct Deep Learning

17. What is one of the significant limitations of AI in cybersecurity?

    • a) The ability to operate without internet access
    • b) The difficulty in detecting previously unknown threats without training data
    • c) The incapability to replace firewalls entirely
    • d) The inability to automate physical security measures
    View Answer

    Correct The difficulty in detecting previously unknown threats without training data

18. How do AI systems in cybersecurity improve risk management strategies?

    • a) By automatically calculating the risk levels associated with potential threats
    • b) By encrypting all communication channels
    • c) By manually reviewing all user access logs
    • d) By generating risk reports on a regular schedule
    View Answer

    Correct By automatically calculating the risk levels associated with potential threats

19. What is the role of reinforcement learning in AI-driven cybersecurity?

    • a) To develop algorithms that can adapt and improve by learning from the environment
    • b) To evaluate the security of encryption methods
    • c) To identify physical security weaknesses
    • d) To prevent malware from spreading across the network
    View Answer

    Correct To develop algorithms that can adapt and improve by learning from the environment

20. What type of data does AI use in cybersecurity for threat prediction and prevention?

    • a) Data from firewalls and physical security systems
    • b) Only data on recent attacks from external sources
    • c) Real-time network traffic and historical data of cyberattacks
    • d) Data from email content and messages
    View Answer

    Correct Real-time network traffic and historical data of cyberattacks

21. How does AI help with continuous monitoring of network security?

    • a) By detecting changes in network traffic that could indicate a security breach
    • b) By limiting user access based on predefined schedules
    • c) By generating regular vulnerability reports for security teams
    • d) By manually checking each file for malicious code
    View Answer

    Correct By detecting changes in network traffic that could indicate a security breach

22. What is a key advantage of using AI-based solutions for endpoint security?

    • a) They block all user traffic during an attack
    • b) They provide physical security for devices
    • c) They require less computational power than traditional solutions
    • d) They automatically adapt to new threats without needing manual intervention
    View Answer

    Correct They automatically adapt to new threats without needing manual intervention

23. How does AI help in identifying phishing attacks in email communications?

    • a) By blocking email attachments
    • b) By using machine learning to analyze email content and sender behavior
    • c) By encrypting email messages
    • d) By marking emails as spam automatically
    View Answer

    Correct By using machine learning to analyze email content and sender behavior

24. Which of the following is an AI-powered cybersecurity application used to predict future cyberattacks?

    • a) Vulnerability scanning tools
    • b) Predictive analytics tools using machine learning
    • c) Network management software
    • d) Password management tools
    View Answer

    Correct Predictive analytics tools using machine learning

25. What does AI-based threat intelligence help organizations understand?

    • a) The best physical security measures for protecting data
    • b) The most efficient ways to allocate server resources
    • c) Emerging trends and tactics in cyberattacks to strengthen defense mechanisms
    • d) How to reduce the number of employees accessing sensitive data
    View Answer

    Correct Emerging trends and tactics in cyberattacks to strengthen defense mechanisms

26. What role do AI-powered firewalls play in cybersecurity?

    • a) Automatically encrypting all network traffic
    • b) Continuously adapting and updating defense strategies based on real-time data
    • c) Blocking any external access to data servers
    • d) Automatically identifying devices connected to a network
    View Answer

    Correct Continuously adapting and updating defense strategies based on real-time data

27. How does AI help cybersecurity teams manage large volumes of data and alerts?

    • a) By categorizing and prioritizing threats based on severity using machine learning
    • b) By automatically deleting unnecessary files
    • c) By blocking network access for non-essential users
    • d) By analyzing data trends in physical security systems
    View Answer

    Correct By categorizing and prioritizing threats based on severity using machine learning

28. Which of the following is a challenge faced by AI in cybersecurity?

    • a) Inability to learn from new types of threats
    • b) Inability to handle encrypted data
    • c) Difficulty in distinguishing between human and bot activities
    • d) Lack of capacity to process large datasets
    View Answer

    Correct Difficulty in distinguishing between human and bot activities

29. How does AI improve malware detection in cybersecurity?

    • a) By using pattern recognition and learning from previously identified malware
    • b) By eliminating the need for antivirus software
    • c) By blocking access to social media sites
    • d) By filtering incoming network traffic for viruses
    View Answer

    Correct By using pattern recognition and learning from previously identified malware

30. What AI technique is most commonly used to detect and mitigate DDoS (Distributed Denial of Service) attacks?

    • a) Deep Learning
    • b) Neural Networks
    • c) Decision Trees
    • d) Regression Analysis
    View Answer

    Correct Deep Learning