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CompTIA CY0-001 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Topic 1: Basic AI Concepts Related to Cybersecurity |
17% |
- AI and Machine Learning Fundamentals
- 1. Supervised, unsupervised, reinforcement learning
- 2. Neural networks and deep learning basics
- AI Threat Landscape
- 1. Adversarial AI and model manipulation
- 2. AI-driven cyber threats (phishing, malware automation)
- Generative AI Concepts
- 1. LLMs and generative AI basics
- 2. Prompting and AI interaction fundamentals
|
| Topic 2: Securing AI Systems |
40% |
- Adversarial Defense
- 1. Data poisoning mitigation
- 2. Model extraction and inference attack defense
- AI System Protection
- 1. Data protection and model security
- 2. Secure AI pipelines and deployment environments
|
| Topic 3: AI-Assisted Security |
24% |
- Security Operations Enhancement
- 1. AI-driven threat detection and anomaly detection
- 2. SOC automation and alert correlation
- Operational Use of AI
- 1. AI-enabled threat intelligence analysis
- 2. Incident response acceleration
|
| Topic 4: AI Governance, Risk, and Compliance |
19% |
- Risk and Compliance
- 1. Ethical AI and responsible usage policies
- 2. Regulatory compliance for AI systems
- AI Governance Frameworks
- 1. ISO/IEC AI governance alignment
- 2. NIST AI RMF concepts
|
>> CY0-001시험대비 덤프자료 <<
CY0-001최신 인증시험 기출자료 - CY0-001최신 인증시험 기출문제
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최신 CompTIA SecAI+ CY0-001 무료샘플문제 (Q59-Q64):
질문 # 59
Which of the following requires developers to harden infrastructure to protect AI systems?
- A. Configuration standards
- B. Development guidelines
- C. Intake processes
- D. Acceptable use policies
정답:A
설명:
Configuration standards define how infrastructure and systems must be securely set up and maintained. By following these standards, developers harden the environment that supports AI systems, reducing risks from misconfigurations and vulnerabilities.
질문 # 60
An AI security team must assess the probability of an attack on its new system and the impact associated with such an attack.
Which of the following threat-modeling resources best addresses the threat landscape for machine learning (ML)?
- A. Massachusetts Institute of Technology (MIT) risk repository
- B. Common Vulnerabilities and Exposures (CVE) AI working group
- C. Open Worldwide Application Security Project (OWASP)
- D. MITRE Adversarial Threat Landscape for AI Systems (ATLAS)
정답:D
설명:
Basic Concept: Assessing attack probability and impact for ML systems requires a resource specifically built to catalog real-world adversarial attacks against AI and ML systems, including documented techniques with associated impact information. CompTIA SecAI+ Exam Objectives identify MITRE ATLAS as the authoritative ML threat landscape resource.
Why B is Correct: MITRE ATLAS is specifically designed as a comprehensive knowledge base of adversarial tactics, techniques, and case studies targeting AI and ML systems. It catalogs real-world attacks with associated probability factors derived from actual incidents and provides impact assessments for various attack types including data poisoning, model evasion, model extraction, and inference attacks. This directly enables the probability and impact assessment the team requires.
Why A is Wrong: The CVE AI working group focuses on identifying and cataloging specific vulnerability instances in AI software components. While useful for vulnerability management, it does not provide the comprehensive threat landscape coverage with probability and impact assessments for ML-specific attack tactics that ATLAS provides.
Why C is Wrong: The MIT risk repository is an academic resource cataloging general AI-related risks. It is research-oriented and does not provide the practitioner-focused, operational attack taxonomy and case study library that MITRE ATLAS offers for ML threat modeling.
Why D is Wrong: OWASP provides application security guidance including the OWASP LLM Top 10. While valuable for LLM-specific risks, OWASP does not provide the comprehensive ML threat landscape coverage or the probability and impact data that MITRE ATLAS offers for assessing the full spectrum of ML attack scenarios.
질문 # 61
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?
- A. Code quality testing
- B. Automated penetration testing
- C. Manual signature matching
- D. Fraud detection
정답:B
설명:
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.
질문 # 62
A security administrator must implement security controls for AI systems.
Which of the following access controls should the administrator set up first for authentication?
- A. Server
- B. Model
- C. Endpoint
- D. Data
정답:C
설명:
Basic Concept: In a layered AI system security architecture, access control must be established at each layer, beginning from the outermost point of entry. Authentication must be established at the endpoint level first, as this is the first point of interaction between users and the AI system. CompTIA SecAI+ Study Guide establishes endpoint authentication as the initial access control layer for AI systems.
Why D is Correct: Endpoint access control is the first authentication control to implement because it governs the initial connection from user devices or client applications to the AI system. All subsequent access layers including server access, model access, and data access depend on the endpoint being authenticated first.
Establishing endpoint authentication ensures that only authorized endpoints can initiate sessions and proceed through subsequent authentication layers.
Why A is Wrong: Model access controls govern who can query, update, or access the AI model ' s parameters and functions. This control layer is implemented after endpoint authentication has been established, as it applies to requests that have already been authenticated at the endpoint level.
Why B is Wrong: Server access controls manage access to the computing infrastructure hosting the AI system. While critical for infrastructure security, server-level controls are configured by administrators and are not the first authentication control for end-user access flows.
Why C is Wrong: Data access controls define what data the AI system and its users can read, write, or query.
These are implemented at a deeper layer after endpoint and potentially model authentication have verified that the requester is authorized to interact with the system at all.
질문 # 63
A short AI-generated video shows a celebrity's likeness talking about a fake public security event.
Which of the following was used to create this video?
- A. Machine learning (ML) classifier
- B. Statistical analysis
- C. Convolutional neural network
- D. Random forest
정답:C
설명:
Convolutional neural networks (CNNs) are commonly used in generating deepfake videos, where a person's likeness is realistically mapped and animated to create fake but convincing audiovisual content.
질문 # 64
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