AI-Assisted Web Application Assessment

Final Quiz

Connecting to LMS... Progress: in progress

Assessment

1. What is the proper role of AI in web application assessment?
2. Why must scope be defined before testing?
3. How should AI-generated vulnerability suggestions be treated?
4. Which artifact may support web assessment evidence?
5. Why is human oversight required?
6. What should a finding include?
7. Why should sensitive data be minimized?
8. What is a hallucination?
9. How can AI help with application mapping?
10. Why should scanner output be reviewed manually?
11. How can AI support API review?
12. What is a safe remediation recommendation?
13. Why should answer positions be randomized in the quiz?
14. Which behavior is inappropriate?
15. Which statement best summarizes AI-assisted web application assessment?
16. What should rules of engagement define?
17. What is the safest way to use AI with code or API documentation?
18. What should happen before AI-drafted report language is delivered?