CompTIA CY0-001 Actual Tests : CompTIA SecAI+ Certification Exam

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CompTIA CY0-001 Exam Syllabus Topics:

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

CompTIA SecAI+ Certification Sample Questions:

Question #1

Which of the following is an example of how a security analyst uses generative AI in the triage process?

A. To predict the next attack target with higher accuracy
B. To summarize security findings by category
C. To tag malware using machine learning (ML) algorithms
D. To use statistical analysis for malicious code assessment

Reveal Solution Discussion 0

Correct Answer: B 🗳️