Question: What is the role of machine learning in some modern WAF implementations?
Answer:
Machine learning in modern WAF implementations allows dynamic adaptation to new attack patterns using intelligent algorithms.
MCQ: What is the role of machine learning in some modern WAF implementations?
Correct Answer:
A. Improving website aesthetics
Explanation:
Machine learning in modern WAF implementations allows dynamic adaptation to new attack patterns using intelligent algorithms.
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Related Questions
- 1. How does a WAF contribute to the prevention of distributed denial-of-service (DDoS) attacks?
- 2. In the context of WAF, what is the purpose of rate limiting?
- 3. How does a WAF protect against command injection attacks in web applications?
- 4. What is the purpose of a reverse proxy deployment in WAF configurations?
- 5. How can a WAF help in preventing brute force attacks on login forms?
- 6. What is the purpose of positive security models in WAF configurations?
- 7. How can a WAF help protect against file inclusion vulnerabilities in web applications?
- 8. What is the role of a challenge-response mechanism in some WAF configurations?
- 9. Why is it important to consider the impact of WAF on user experience during configuration?
- 10. How can encrypted traffic impact the effectiveness of some WAF features?
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