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CompTIA CY0-001 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Securing AI Systems40%- Security controls for AI systems
  • 1. Deployment environment security
  • 2. Data protection: integrity, confidentiality, privacy
  • 3. Model security: access, integrity, anti-tampering
- Defending against AI-specific attacks
  • 1. Threat modeling for AI lifecycles
  • 2. Prompt injection, data poisoning, model inversion
  • 3. Adversarial example defense
- Secure AI development and operations
  • 1. Secure MLOps and AI pipeline design
  • 2. DevSecOps integration for AI
Topic 2: AI-assisted Security24%- AI in security strategy and operations
  • 1. Threat modeling and risk assessment
  • 2. Compliance monitoring and auditing
- Security automation and orchestration
  • 1. Vulnerability management and assessment
  • 2. Workflow automation and response playbooks
- AI for threat detection and response
  • 1. Automated incident triage and correlation
  • 2. Accelerated threat hunting
  • 3. Anomaly detection and behavioral analysis
Topic 3: AI Governance, Risk and Compliance19%- Risk management for AI
  • 1. AI risk identification and assessment
  • 2. Risk mitigation and control strategies
- Governance frameworks and policies
  • 1. Organizational AI governance structures
  • 2. Responsible AI principles and ethics
  • 3. Global standards: NIST AI RMF, EU AI Act
- Compliance and legal requirements
  • 1. Transparency, accountability and auditability
  • 2. Data protection and privacy laws
Topic 4: Basic AI Concepts Related to Cybersecurity17%- AI-driven threats and risks
  • 1. Automated phishing, polymorphic malware
  • 2. Adversarial machine learning attacks
  • 3. Malicious use of generative AI
- AI applications in security
  • 1. Security automation and decision support
  • 2. Threat detection and anomaly analysis
- Core AI principles and terminology
  • 1. Machine learning, deep learning, NLP, automation
  • 2. Generative AI concepts and capabilities

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最新的 CompTIA SecAI+ CY0-001 免費考試真題 (Q58-Q63):

問題 #58
An organization is concerned with the exposure of sensitive data. Which of the following is the most relevant security concern?

答案：C

解題說明：
Model inversion is a security concern where attackers can reconstruct or infer sensitive training data from the AI model's outputs. This directly threatens data confidentiality, making it the most relevant concern for sensitive data exposure.


問題 #59
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.)

答案：C,F


問題 #60
SIMULATION
Instructions
Click the (+) to assign each threat category into its appropriate framework.
If at any time you would like to bring back the initial state of the simulation, please click the Reset All button.
An architect is modeling an agentic system to meet security standards.

答案：

解題說明：

Explanation:
MAESTRO: Overreliance, Insecure plug-in design
OWASP Top 10: Broken access control, Identification and authentication failures OWASP Top 10 LLM: Prompt injection, Model denial of service STRIDE: Elevation of privilege, Repudiation, Supply chain vulnerabilities, Insecure design MAESTRO addresses AI-specific misuse such as excessive trust in outputs (overreliance) and unsafe plug-in design.
OWASP Top 10 maps to classic web threats: broken access control and authentication failures are key risks.
OWASP Top 10 LLM focuses on LLM-related threats like prompt injection and denial of service targeting the model.
STRIDE categories cover privilege escalation, repudiation (denying actions), supply chain risks, and insecure design flaws.


問題 #61
Global IPs attempt logins against thousands of accounts with known breached credentials. What attack is occurring?

答案：D

解題說明：
Credential stuffing uses leaked username-password pairs.


問題 #62
Which methods identify vulnerabilities BEFORE deployment? (Choose two.)

答案：A,E

解題說明：
Pre-deployment assessments rely on design evaluation and code inspection.


問題 #63
......

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