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CompTIA CY0-001 Exam Syllabus Topics:

Section	Weight	Objectives
AI Governance, Risk and Compliance	19%	- Risk management for AI 1. AI risk identification and assessment 2. Risk mitigation and control strategies - Compliance and legal requirements 1. Transparency, accountability and auditability 2. Data protection and privacy laws - Governance frameworks and policies 1. Organizational AI governance structures 2. Global standards: NIST AI RMF, EU AI Act 3. Responsible AI principles and ethics
Basic AI Concepts Related to Cybersecurity	17%	- AI applications in security 1. Security automation and decision support 2. Threat detection and anomaly analysis - AI-driven threats and risks 1. Adversarial machine learning attacks 2. Automated phishing, polymorphic malware 3. Malicious use of generative AI - Core AI principles and terminology 1. Generative AI concepts and capabilities 2. Machine learning, deep learning, NLP, automation
AI-assisted Security	24%	- Security automation and orchestration 1. Workflow automation and response playbooks 2. Vulnerability management and assessment - AI in security strategy and operations 1. Threat modeling and risk assessment 2. Compliance monitoring and auditing - AI for threat detection and response 1. Automated incident triage and correlation 2. Accelerated threat hunting 3. Anomaly detection and behavioral analysis
Securing AI Systems	40%	- Security controls for AI systems 1. Deployment environment security 2. Model security: access, integrity, anti-tampering 3. Data protection: integrity, confidentiality, privacy - Secure AI development and operations 1. Secure MLOps and AI pipeline design 2. DevSecOps integration for AI - Defending against AI-specific attacks 1. Threat modeling for AI lifecycles 2. Prompt injection, data poisoning, model inversion 3. Adversarial example defense

CompTIA SecAI+ Certification Sample Questions:

Question #1

Which of the following resources most accurately covers the most widely recognized threat vectors and common vulnerabilities related to large language model (LLM) applications?

A. MITRE Adversarial Threat Landscape for AI Systems (ATLAS)
B. National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF)
C. Open Worldwide Application Security Project (OWASP)
D. Massachusetts Institute of Technology Risk Repository

Reveal Solution Discussion 0

Correct Answer: C 🗳️