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CompTIA CY0-001 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Basic AI Concepts Related to Cybersecurity	17%	- 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 - Generative AI Concepts 1. Prompting and AI interaction fundamentals 2. LLMs and generative AI basics
Topic 2: Securing AI Systems	40%	- AI System Protection 1. Secure AI pipelines and deployment environments 2. Data protection and model security - Adversarial Defense 1. Data poisoning mitigation 2. Model extraction and inference attack defense
Topic 3: AI Governance, Risk, and Compliance	19%	- Risk and Compliance 1. Regulatory compliance for AI systems 2. Ethical AI and responsible usage policies - AI Governance Frameworks 1. NIST AI RMF concepts 2. ISO/IEC AI governance alignment
Topic 4: 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

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CompTIA SecAI+ Certification Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which of the following strengthens the performance of a large language model (LLM) for malicious reconnaissance?

A. Enhancing a foundational model with the inclusion of retrieval-augmented generation (RAG)
B. Prompting a chatbot to describe server naming patterns and Internet Protocol (IP) ranges
C. Creating a web scraper script using AI to capture the company website
D. Instructing an AI assistant to query as an administrator

Answer: A

Explanation:
RAG augments an LLM with external, up-to-date information retrieval, improving its factual accuracy and contextual scope-capabilities that directly strengthen the model's effectiveness for reconnaissance.

NEW QUESTION # 12
A company launches an AI application to monitor cloud misconfiguration and compliance. The AI application is shutting down development servers and opening ports during a client demonstration. Which of the following actions should the company take to return to normal operations and prevent future issues?

A. Restarting the servers
B. Implementing human-in-the-loop
C. Disabling the cloud monitoring
D. Reconfiguring the firewall

Answer: B

Explanation:
Option D is correct because the AI application is taking high-impact remediation actions without adequate human authorization. Human-in-the-loop control requires a qualified person to review and approve consequential actions, such as stopping servers or changing firewall exposure, before execution. The system may still detect misconfigurations, rank risks, and recommend fixes, but it should not autonomously disrupt development or alter network access during a demonstration. Option A restores service temporarily but leaves the unsafe decision path unchanged. Option B removes useful monitoring and does not correct the excessive automation. Option C might close improperly opened ports, yet it addresses only one symptom and does not prevent the AI from repeating other damaging actions. The stronger design is to roll back the unauthorized changes, restrict the agent's permissions, require approval for disruptive operations, and maintain an auditable record of recommendations and approvals. The NIST AI Risk Management Framework calls for appropriate human-oversight processes to be defined, assessed, and documented, supporting this governance pattern.

NEW QUESTION # 13
A phishing attachment appears harmless during static analysis but behaves maliciously when executed. Which technique would detect this?

A. Digital forensics
B. Log correlation
C. Heuristic scanning
D. Dynamic analysis in a sandbox

Answer: D

Explanation:
Dynamic analysis observes real-time malicious activity.

NEW QUESTION # 14
A security analyst finds that the AI system is under a denial-of-wallet attack.
Which of the following should the analyst enforce to protect the company? (Choose two.)

A. Modality controls
B. Model fine-tuning
C. Application programming interface (API) rate controls
D. Content delivery network (CDN)
E. Endpoint access controls
F. Output token controls

Answer: C,F

NEW QUESTION # 15
A global security operations center (SOC) wants to adapt and leverage the strength of AI in order to enhance its security operations. Which of the following is the best way to enhance the global SOC functions?

A. Summarize alerts to easily gain insights on the environment.
B. Enable a personal assistant that can act in the global SOC with no human intervention.
C. Generate code and execute in production to help save time.
D. Use open-source models in production to help the efficiency of threat detection and threat analysis.

Answer: A

Explanation:
AI can significantly enhance SOC operations by summarizing and correlating high volumes of alerts, enabling analysts to quickly identify patterns, prioritize threats, and gain actionable insights. This reduces analyst fatigue and improves response times without introducing unsafe automation risks.

NEW QUESTION # 16
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