Input Validation & Sanitization for AI Security

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2. What is the purpose of implementing an allowlist for file uploads in AI systems?

To restrict uploads to only approved file types and extensions

To increase upload speeds

To compress files automatically

To encrypt all uploaded data

3. True or False: Unicode normalization can help prevent homograph attacks in input validation.

True

False

4. Which of the following best describes parameterized queries?

Separating SQL code from user data to prevent injection attacks

Encrypting database connection strings

Limiting the number of database queries per user

Caching frequently accessed database records

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6. What does the principle of 'defense in depth' mean for AI security?

Using multiple layers of validation and sanitization controls

Implementing only the strongest single security measure

Relying solely on user education

Accepting all inputs and filtering outputs only

7. True or False: Output encoding is unnecessary if input validation is properly implemented.

True

False

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9. What is a prompt injection attack in large language models?

Inserting malicious instructions into user prompts to manipulate model behavior

Reducing the number of tokens in a prompt

Increasing model accuracy through better prompts

Filtering inappropriate language from outputs

10. True or False: API rate limiting is a form of input control that prevents abuse.

True

False

11. What is the primary purpose of input validation in AI security?

To verify that data conforms to expected format and constraints

To encrypt all incoming user data

To increase processing speed of AI models

To reduce storage requirements for training data

12. Which of the following is an example of a whitelist validation rule?

Allow only alphanumeric characters and hyphens in usernames

Reject any input containing the word 'admin'

Block all special characters indiscriminately

Accept any input that is not obviously malicious

13. What does a Content Security Policy (CSP) help protect against?

Cross-site scripting (XSS) attacks

Unauthorized access to backend services

Model overfitting

Slow inference times

14. True or False: Sanitization alone is sufficient to secure AI systems without validation.

True

False

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16. Which validation technique checks that input length does not exceed a maximum threshold?

Type validation

Length validation

Pattern validation

Range validation

17. What is data poisoning in the context of AI security?

Injecting malicious data into training datasets to degrade model performance

Encrypting sensitive training data

Removing duplicate records from datasets

Normalizing feature values before model training

18. True or False: Whitelisting is generally more secure than blacklisting for input validation.

True

False

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20. Which of the following is a common injection attack targeting AI systems?

Prompt injection in language models

SQL injection in database queries

Command injection in shell environments

All of the above

SecAI+ Input Validation and Sanitization for AI Quiz

1. Regular expressions can be used to validate____patterns in user input data.

2.

What first name or nickname would you like us to use?

2. What is the purpose of implementing an allowlist for file uploads in AI systems?

3. True or False: Unicode normalization can help prevent homograph attacks in input validation.

4. Which of the following best describes parameterized queries?

5. Input validation should occur on both the____and server side for web-based AI applications.

6. What does the principle of 'defense in depth' mean for AI security?

7. True or False: Output encoding is unnecessary if input validation is properly implemented.

8. Which security control validates that numeric input falls within an acceptable____?

9. What is a prompt injection attack in large language models?

10. True or False: API rate limiting is a form of input control that prevents abuse.

11. What is the primary purpose of input validation in AI security?

12. Which of the following is an example of a whitelist validation rule?

13. What does a Content Security Policy (CSP) help protect against?

14. True or False: Sanitization alone is sufficient to secure AI systems without validation.

15. Encoding user input before processing helps prevent____attacks by converting special characters.

16. Which validation technique checks that input length does not exceed a maximum threshold?

17. What is data poisoning in the context of AI security?

18. True or False: Whitelisting is generally more secure than blacklisting for input validation.

19. Input sanitization removes or neutralizes____characters and code that could cause harm.

20. Which of the following is a common injection attack targeting AI systems?