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CompTIA CY0-001 Exam Syllabus Topics:

SectionWeightObjectives
AI Governance, Risk and Compliance19%- Compliance and legal requirements
  • 1. Transparency, accountability and auditability
  • 2. Data protection and privacy laws
- Governance frameworks and policies
  • 1. Responsible AI principles and ethics
  • 2. Organizational AI governance structures
  • 3. Global standards: NIST AI RMF, EU AI Act
- Risk management for AI
  • 1. Risk mitigation and control strategies
  • 2. AI risk identification and assessment
Securing AI Systems40%- 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. Adversarial example defense
  • 3. Prompt injection, data poisoning, model inversion
- 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 Cybersecurity17%- Core AI principles and terminology
  • 1. Generative AI concepts and capabilities
  • 2. Machine learning, deep learning, NLP, automation
- AI-driven threats and risks
  • 1. Adversarial machine learning attacks
  • 2. Automated phishing, polymorphic malware
  • 3. Malicious use of generative AI
- AI applications in security
  • 1. Security automation and decision support
  • 2. Threat detection and anomaly analysis
AI-assisted Security24%- AI for threat detection and response
  • 1. Anomaly detection and behavioral analysis
  • 2. Automated incident triage and correlation
  • 3. Accelerated threat hunting
- AI in security strategy and operations
  • 1. Threat modeling and risk assessment
  • 2. Compliance monitoring and auditing
- Security automation and orchestration
  • 1. Workflow automation and response playbooks
  • 2. Vulnerability management and assessment

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CompTIA SecAI+ Certification Exam Sample Questions (Q63-Q68):

NEW QUESTION # 63
During the selection of a machine learning (ML)-based threat classification model, a cybersecurity administrator verifies that label distribution is highly unbalanced. Which of the following processing techniques should the engineer use to balance the model?

Answer: B

Explanation:
When label distribution is highly unbalanced, data augmentation generates additional synthetic samples for the underrepresented classes. This balances the dataset, improving the ML model's ability to classify threats accurately across all categories.


NEW QUESTION # 64
When should containment occur during the incident response lifecycle?

Answer: B

Explanation:
Containment follows identification and precedes eradication.


NEW QUESTION # 65
A security operations center (SOC) analyst needs to automate multiple security tasks by breaking them down into smaller parts. Which of the following AI tools is the best for this task?

Answer: A

Explanation:
Agentic AI is designed to autonomously break down complex tasks into smaller steps and execute them in sequence. This makes it the best tool for automating multiple security tasks in a SOC environment.


NEW QUESTION # 66
A security team is using an AI-based tool to try to bypass organizational boundaries. The team uses AI to look at the current state and suggest different attack vectors based on the outcome of the previous ones. Which of the following techniques is the team most likely using?

Answer: D

Explanation:
The described behavior - iteratively assessing the environment and adapting attack paths based on prior outcomes - matches automated penetration testing, where AI-driven tools simulate attack chains and adjust tactics dynamically.


NEW QUESTION # 67
A security administrator must provide access controls for AI systems to list tables. Which of the following should the administrator implement?

Answer: D

Explanation:
Since the requirement is to control which users or systems can list tables, the proper control lies at the data access level. Implementing data access controls ensures only authorized entities can view or query the underlying tables used by the AI system.


NEW QUESTION # 68
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