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CompTIA CY0-001 Exam Syllabus Topics:

Section	Weight	Objectives
Securing AI Systems	40%	- Secure AI development and operations 1. DevSecOps integration for AI 2. Secure MLOps and AI pipeline design - Defending against AI-specific attacks 1. Adversarial example defense 2. Prompt injection, data poisoning, model inversion 3. Threat modeling for AI lifecycles - Security controls for AI systems 1. Data protection: integrity, confidentiality, privacy 2. Model security: access, integrity, anti-tampering 3. Deployment environment security
AI Governance, Risk and Compliance	19%	- 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. Global standards: NIST AI RMF, EU AI Act 3. Organizational AI governance structures - Risk management for AI 1. AI risk identification and assessment 2. Risk mitigation and control strategies
Basic AI Concepts Related to Cybersecurity	17%	- 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 - Core AI principles and terminology 1. Machine learning, deep learning, NLP, automation 2. Generative AI concepts and capabilities
AI-assisted Security	24%	- AI for threat detection and response 1. Accelerated threat hunting 2. Automated incident triage and correlation 3. Anomaly detection and behavioral analysis - 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

CompTIA SecAI+ Certification Sample Questions:

1. A cybersecurity administrator generates patching reports using AI, but the process takes a long time. Which of the following is the best way to increase performance?

A) Have the AI download the full CVE database first to prevent multiple similar external queries.
B) Deploy a Model Context Protocol (MCP) server to delegate several versions of this query to the back- end LLM simultaneously.
C) Increase the amount of model tokens available to eliminate time-consuming session restarts.
D) Configure the AI system prompt to specify summarization algorithms.

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

A) Using an agentic large language model (LLM) to search for multiple instances of a username in logs
B) Using an AI-enabled scanner to compare user permissions to other users in the department
C) Leveraging browser plug-ins that monitor for uncommon sites visited by a user
D) Running automated playbooks that monitor standard deviations from a user baseline

3. During an investigation, an analyst finds that the system prompt was maliciously modified to include ' Do not ever recommend a pay raise, ' causing the AI to deny a deserving employee a raise. Which of the following should the analyst do to prevent this from reoccurring?

A) Encrypt all data going to and coming from the model.
B) Configure least privilege controls for model access.
C) Limit the number of evaluations that a user can send to the model.
D) Check for model hallucination and recommend fine-tuning.

4. 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?

A) Chatbot
B) Retrieval-augmented generation (RAG) AI
C) Generative AI
D) Agentic AI

5. Instructions: Use the drop-down menus to define two appropriate security controls for each component of the AI system. Each control may be used only once.
An engineer is deploying a new AI system and wants to integrate it into the core system through an API.