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CompTIA CY0-001 Exam Syllabus Topics:

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

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CompTIA SecAI+ Certification Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
Which of the following is required first in order to send a prompt query and response in a language model (LLM) system when authentication is enabled?

Answer: B

Explanation:
When authentication is enabled, the first requirement for sending a prompt query and receiving a response is endpoint access control. It ensures only authenticated and authorized users or systems can interact with the LLM endpoint.


NEW QUESTION # 21
Security analysts want to track potential user behavior anomalies over time. Which of the following is the most comprehensive approach?

Answer: C

Explanation:
Option D is correct because behavioral anomaly detection requires a persistent baseline of normal user activity and a repeatable method for measuring departures from that baseline. Automated playbooks can continuously collect authentication, endpoint, network, and application events, calculate deviations such as unusual login times, abnormal resource access, or atypical transaction volume, and escalate activity that exceeds defined thresholds. Standard-deviation-based comparison is broader and more defensible than searching for a username or checking a single data source. Option A provides only a permissions comparison at one point in time; it does not establish how the user normally behaves. Option B searches log occurrences but lacks behavioral context, trend analysis, and reliable anomaly scoring. Option C observes only browser activity and therefore misses anomalies in identity, host, cloud, and business systems. A mature implementation should tune baselines, account for role and seasonality, and retain analyst review so legitimate changes are not treated as malicious. This aligns with AI-assisted security concepts involving user and entity behavior analytics, automated enrichment, and risk-based triage.


NEW QUESTION # 22
A security administrator must provide access controls for AI systems to list tables.
Which of the following should the administrator implement?

Answer: D

Explanation:
Basic Concept: AI systems interact with different resource layers including models, data stores, and infrastructure. Controlling what data an AI system can access requires implementing access controls at the data layer. CompTIA SecAI+ Study Guide differentiates between model access, data access, and network access controls for AI systems.
Why D is Correct: Data access controls govern what data resources an AI system can interact with, including which databases, tables, and records it can read or modify. To control an AI system ' s ability to list database tables, the administrator must implement data access controls that define precisely which tables the AI can enumerate and query, following the principle of least privilege for data interactions.
Why A is Wrong: Agentic AI access refers to permissions granted to autonomous AI agents to perform actions and use tools. It is a broader concept about what an AI agent can do operationally rather than a specific data-layer access control mechanism.
Why B is Wrong: A Network Access Control List controls network traffic at the IP and port level, determining which hosts can communicate with which network resources. It operates at the network layer and cannot enforce fine-grained control over which database tables an AI system is allowed to list.
Why C is Wrong: Model access controls govern who and what can interact with the AI model itself - who can query it, update it, or access its parameters. This is distinct from data access, which controls what the model can read from data stores during operation.


NEW QUESTION # 23
Which of the following responsible AI standards refers to a principle that clearly states the reasons behind the decisions for a particular conclusion?

Answer: A

Explanation:
Explainability is the responsible AI principle that ensures AI systems can provide clear reasoning for their decisions, allowing users to understand how and why a particular conclusion was reached.


NEW QUESTION # 24
Which of the following attacks is most enabled by AI-generated content?

Answer: D

Explanation:
Basic Concept: AI-generated content including personalized text, synthetic voice, and deepfake video has dramatically enhanced the effectiveness and scalability of social engineering attacks. Understanding how AI amplifies specific attack types is key to CompTIA SecAI+ basic AI concepts in the cybersecurity context.
Why B is Correct: Phishing attacks are most dramatically enabled by AI-generated content. AI can generate highly personalized, grammatically perfect phishing emails tailored to individual targets using publicly available information. It can create convincing deepfake audio and video for voice phishing (vishing) and video phishing, replicate executive communication styles for business email compromise, and generate phishing campaigns at massive scale. The quality and personalization that previously required skilled human social engineers can now be automated with AI.
Why A is Wrong: Model poisoning is a specific attack against AI systems that corrupts training data to manipulate model behavior. While sophisticated, it is a targeted AI security attack rather than a broad cybercrime enabled by AI-generated content at scale.
Why C is Wrong: Ransomware is malware that encrypts victim data and demands payment for decryption keys. While AI can assist in ransomware development, ransomware deployment relies on code execution and network propagation techniques more than AI-generated content.
Why D is Wrong: Remote code execution involves exploiting vulnerabilities to run arbitrary code on a target system. It relies on technical vulnerability exploitation rather than AI-generated content. AI might assist in finding vulnerabilities, but RCE is not primarily enabled by content generation.


NEW QUESTION # 25
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The CompTIA CY0-001 certification from CompTIA is a sought-after recognition of VCEPrep skills and knowledge. With this CompTIA SecAI+ Certification Exam certification, professionals can enhance their careers, boost earnings, and showcase their expertise in a competitive job market. The benefits of passing the CY0-001 Exam are numerous, but preparing for the exam is not a simple feat.

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