AI Security Operations Assessment

📋 Assessment Instructions

This assessment covers all four lessons from Module 4: AI Security Operations
Questions include multiple choice, true/false, and scenario-based questions
You have unlimited time to complete the assessment
A passing score of 70% is required to complete the AI Security roadmap
Review the lessons if you need to refresh your knowledge

🚨 Part 1: AI Incident Response (Questions 1-6)

Question 1

What is the first phase of the AI incident response lifecycle?

Identification Preparation Containment Eradication

Question 2

Which of the following is considered a critical severity AI incident?

Minor performance degradation Complete system compromise with safety risk False positive detection Training data drift

Question 3

What is the primary goal of the containment phase in AI incident response?

To improve model performance To isolate affected systems and prevent spread To collect evidence To restore normal operations

Question 4

Which type of AI incident involves malicious training data injection?

Adversarial attacks Data poisoning Model theft Privacy breaches

Question 5

What should be the maximum response time for a critical AI security incident?

24 hours 4 hours 15 minutes 1 hour

Question 6

True or False: Automated response systems can completely replace human incident response teams.

True False

📋 Part 2: AI Compliance & Governance (Questions 7-12)

Question 7

What does GDPR require regarding AI systems?

Complete transparency of all algorithms Right to explanation and data minimization Mandatory AI ethics training Regular security audits

Question 8

The EU AI Act uses what type of approach to regulation?

Technology-neutral approach Risk-based approach One-size-fits-all approach Voluntary compliance approach

Question 9

What is the primary purpose of an AI Ethics Board?

To reduce costs To provide strategic oversight and policy development To manage technical implementation To conduct security testing

Question 10

Which framework provides risk management guidance for AI systems?

ISO 27001 NIST AI RMF COBIT ITIL

Question 11

What does PSI stand for in data drift detection?

Performance Stability Index Population Stability Index Predictive Stability Index Process Stability Index

Question 12

True or False: Compliance monitoring can be fully automated without human oversight.

True False

🏢 Part 3: Enterprise AI Security (Questions 13-18)

Question 13

Which layer of enterprise AI security architecture handles data encryption and access controls?

Application Layer Data Layer Infrastructure Layer Governance Layer

Question 14

What is the primary purpose of preventive controls in AI security?

To detect attacks after they occur To prevent security incidents from occurring To respond to incidents To recover from attacks

Question 15

Which risk category includes reputation damage and regulatory fines?

Technical risks Business risks Operational risks Ethical risks

Question 16

What is a key component of third-party AI security risk management?

Vendor security assessments Internal team training Model performance optimization Data preprocessing

Question 17

Which metric indicates the overall enterprise AI security maturity?

Security Posture Score Model accuracy Training time Data volume

Question 18

True or False: Enterprise AI security architecture should be designed for scalability from the beginning.

True False

📊 Part 4: AI Security Metrics (Questions 19-25)

Question 19

What does MTTD stand for in AI security metrics?

Mean Time to Deploy Mean Time to Detection Mean Time to Development Mean Time to Debug

Question 20

Which maturity level represents standardized processes and formal policies?

Level 1: Initial Level 2: Managed Level 3: Defined Level 4: Quantified

Question 21

What is the primary purpose of predictive security analytics?

To reduce costs To predict potential security threats To improve model accuracy To automate compliance

Question 22

Which metric category includes adversarial accuracy and certification coverage?

Security Effectiveness Model Robustness Compliance & Governance Operational Excellence

Question 23

What is the recommended threshold for high-risk threat probability?

≥ 0.4 ≥ 0.6 ≥ 0.8 ≥ 0.9

Question 24

Which benchmarking approach compares against similar organization size and industry?

Industry Standards Peer Comparison Best Practices Regulatory Requirements

Question 25

True or False: Security metrics should be collected and analyzed continuously, not just during incidents.

True False

📊 Assessment Results

Assessment Complete

Your detailed results are shown below.

Performance by Section

AI Incident Response

0/6

AI Compliance & Governance

0/6

Enterprise AI Security

0/6

AI Security Metrics

0/7

📝 AI Security Operations Assessment

📋 Assessment Instructions

🚨 Part 1: AI Incident Response (Questions 1-6)

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

📋 Part 2: AI Compliance & Governance (Questions 7-12)

Question 7

Question 8

Question 9

Question 10

Question 11

Question 12

🏢 Part 3: Enterprise AI Security (Questions 13-18)

Question 13

Question 14

Question 15

Question 16

Question 17

Question 18

📊 Part 4: AI Security Metrics (Questions 19-25)

Question 19

Question 20

Question 21

Question 22

Question 23

Question 24

Question 25

📊 Assessment Results

Assessment Complete

Performance by Section

AI Incident Response

AI Compliance & Governance

Enterprise AI Security

AI Security Metrics

Next Steps