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CompTIA CY0-001 Exam Syllabus Topics:

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

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CompTIA SecAI+ Certification Exam Sample Questions (Q145-Q150):

NEW QUESTION # 145
Which of the following improves the observability and auditing of an AI system?

Answer: D

Explanation:
MLOps provides structured monitoring, logging, and version control for AI models. This improves observability and ensures detailed auditing of model behavior, data pipelines, and changes throughout the AI lifecycle.


NEW QUESTION # 146
A team of engineers builds an application using a large language model (LLM). The application is built on Linux and is hosted on a virtual server. Users must create an account in order to access and use the platform.
Which of the following should the team do to protect the account credentials?

Answer: A

Explanation:
Basic Concept: User account credentials stored in a database must be protected against unauthorized disclosure. The security of credentials at rest requires cryptographic controls that prevent even database administrators or attackers with database access from reading plaintext passwords. CompTIA SecAI+ Study Guide covers credential security controls as part of AI application security.
Why C is Correct: Implementing hashing and encryption for credential protection is the industry-standard approach. Passwords should be hashed using strong, slow algorithms such as bcrypt, Argon2, or scrypt with unique salts, making them computationally infeasible to reverse even if the database is compromised.
Additional sensitive credential data can be encrypted. Together, hashing and encryption ensure that account credentials remain protected even if the underlying storage is accessed by unauthorized parties.
Why A is Wrong: Patching the model with new datasets updates the AI model ' s training data and knowledge. It does not address the security of user account credentials stored in the application ' s authentication database.
Why B is Wrong: Updating Linux and virtual server software patches system vulnerabilities and is important for overall security hygiene. However, it does not implement specific protections for the account credentials themselves stored in the application database.
Why D is Wrong: Deploying an authenticated API requires users to authenticate to use the API, improving access control. While this complements credential security, it does not protect the storage of credentials at rest and does not replace hashing and encryption of the credential values themselves.


NEW QUESTION # 147
Which tool prevents unauthorized system file modifications?

Answer: C

Explanation:
FIM detects changes to critical system files.


NEW QUESTION # 148
Which of the following controls is the best way to mitigate a denial-of-service (DoS) attack?

Answer: C

Explanation:
Rate limiting restricts the number of requests within a set timeframe, preventing attackers from overwhelming the system with excessive traffic, making it the best control to mitigate a DoS attack.


NEW QUESTION # 149
An AI architect reviews AI utilization and wants to improve the user experience. Which of the following should the architect review within the logs?

Answer: A

Explanation:
To improve user experience, the architect should review model accuracy in the logs. High accuracy ensures users receive relevant, reliable responses, directly impacting satisfaction and effectiveness of the AI system.


NEW QUESTION # 150
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