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CompTIA CY0-001 Exam Syllabus Topics:

Section	Weight	Objectives
AI-Assisted Security	24%	- Security Operations Enhancement 1. SOC automation and alert correlation 2. AI-driven threat detection and anomaly detection - Operational Use of AI 1. AI-enabled threat intelligence analysis 2. Incident response acceleration
AI Governance, Risk, and Compliance	19%	- AI Governance Frameworks 1. ISO/IEC AI governance alignment 2. NIST AI RMF concepts - Risk and Compliance 1. Ethical AI and responsible usage policies 2. Regulatory compliance for AI systems
Basic AI Concepts Related to Cybersecurity	17%	- Generative AI Concepts 1. LLMs and generative AI basics 2. Prompting and AI interaction fundamentals - AI Threat Landscape 1. AI-driven cyber threats (phishing, malware automation) 2. Adversarial AI and model manipulation - AI and Machine Learning Fundamentals 1. Supervised, unsupervised, reinforcement learning 2. Neural networks and deep learning basics
Securing AI Systems	40%	- Adversarial Defense 1. Model extraction and inference attack defense 2. Data poisoning mitigation - AI System Protection 1. Secure AI pipelines and deployment environments 2. Data protection and model security

CompTIA SecAI+ Certification Sample Questions:

1. A cybersecurity analyst wants to choose a machine learning (ML) model to classify log entries while providing the best explainability.
Which of the following models should the analyst use?

A) Generative adversarial network (GAN)
B) Neural networks
C) Large language model (LLM)
D) Decision trees

2. Which of the following is used to train an AI model with unstructured data?

A) Statistical learning
B) Reinforcement training
C) Fine-tuning
D) Supervised learning

3. A data set containing medical information is put into a machine learning (ML) model that is designed to predict specific illnesses for a population. In the process of verifying the reliability of the system, the compliance officer realizes that the system cannot reliably predict illnesses for certain segments of the population.
Which of the following types of risk is most applicable to this case?

A) Transparency
B) Inclusiveness
C) Consistency
D) Bias

4. Which of the following International Organization for Standardization (ISO) standards contains compliance requirements for building an AI management system?

A) 20000
B) 27001
C) 27018
D) 42001

5. An internal user enters a client credit card number into an internal generative machine learning (ML) model:
#User prompt: Customer Jane Doe has a new credit card that she wants to add to her account. The number is
5555-5555-5555-5555
Which of the following is the most effective way to prevent prompt injection attacks against a large language model (LLM)?

A) Antivirus
B) Guardrails
C) Web application firewall (WAF)
D) Role-based access control

Solutions:

Question # 1
Answer: D

Question # 2
Answer: C

Question # 3
Answer: D

Question # 4
Answer: D

Question # 5
Answer: B