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CompTIA CY0-001 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Basic AI Concepts Related to Cybersecurity17%- Generative AI Concepts
  • 1. Prompting and AI interaction fundamentals
    • 2. LLMs and generative AI basics
      - AI Threat Landscape
      • 1. Adversarial AI and model manipulation
        • 2. AI-driven cyber threats (phishing, malware automation)
          - AI and Machine Learning Fundamentals
          • 1. Supervised, unsupervised, reinforcement learning
            • 2. Neural networks and deep learning basics
              Topic 2: AI Governance, Risk, and Compliance19%- AI Governance Frameworks
              • 1. ISO/IEC AI governance alignment
                • 2. NIST AI RMF concepts
                  - Risk and Compliance
                  • 1. Regulatory compliance for AI systems
                    • 2. Ethical AI and responsible usage policies
                      Topic 3: Securing AI Systems40%- AI System Protection
                      • 1. Secure AI pipelines and deployment environments
                        • 2. Data protection and model security
                          - Adversarial Defense
                          • 1. Model extraction and inference attack defense
                            • 2. Data poisoning mitigation
                              Topic 4: AI-Assisted Security24%- Operational Use of AI
                              • 1. AI-enabled threat intelligence analysis
                                • 2. Incident response acceleration
                                  - Security Operations Enhancement
                                  • 1. SOC automation and alert correlation
                                    • 2. AI-driven threat detection and anomaly detection

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                                      CompTIA SecAI+ Certification Exam Sample Questions (Q59-Q64):

                                      NEW QUESTION # 59
                                      Which of the following is most resistant to AI manipulation?

                                      Answer: A

                                      Explanation:
                                      Basic Concept: AI manipulation attacks exploit vulnerabilities in systems, interfaces, and content. Some security approaches are inherently more resistant to AI-driven attacks because they reduce the available avenues through which manipulation can occur, rather than attempting to detect or block individual attacks.
                                      CompTIA SecAI+ Study Guide covers defensive strategies for AI system protection.
                                      Why D is Correct: Attack surface reduction minimizes the number of entry points, interfaces, and components available for exploitation. By eliminating unnecessary services, APIs, integrations, and features, it reduces the total number of pathways through which AI-driven manipulation attacks can be attempted. Unlike signature- based or behavioral detection, attack surface reduction provides structural resistance regardless of how sophisticated or novel the AI manipulation technique is.
                                      Why A is Wrong: Payloads are the malicious content used in attacks, not a defensive control. Attackers using AI can generate increasingly sophisticated payloads designed to evade detection, making them highly susceptible to AI-driven manipulation rather than resistant to it.
                                      Why B is Wrong: AI-generated content is a product of AI systems and can itself be manipulated or weaponized by adversarial AI. It is not a defense mechanism and is inherently vulnerable to AI-driven manipulation and poisoning.
                                      Why C is Wrong: An API gateway provides a managed access point for API traffic with authentication and filtering capabilities. However, APIs are primary attack targets for AI manipulation and require ongoing security updates. API gateways are less fundamentally resistant than structural attack surface reduction.
                                      Why E is Wrong: Antivirus relies on signatures and behavioral heuristics to detect known malware. AI- powered attacks can generate novel, polymorphic payloads that evade signature detection, making antivirus less resistant to AI manipulation than attack surface reduction.


                                      NEW QUESTION # 60
                                      An architect is creating a threat model for an agentic system. Which of the following should the architect do first?

                                      Answer: B

                                      Explanation:
                                      The first step in creating a threat model is to identify trust boundaries, which define where data or control transitions between different systems, users, or components. This helps map potential attack surfaces and informs subsequent risk analysis and control


                                      NEW QUESTION # 61
                                      A company develops an AI model to diagnose patients. Hospitals access the model through an integrated application programming interface (API). The security team performs a denial-of-service (DoS) attack via brute force on the model.
                                      Which of the following controls would have prevented this issue?

                                      Answer: A

                                      Explanation:
                                      Basic Concept: API-based AI systems are susceptible to DoS attacks where excessive requests overwhelm the system ' s ability to respond to legitimate users. Rate limiting is the standard control for preventing both intentional and unintentional API abuse. CompTIA SecAI+ Study Guide covers rate limiting as a key availability control for AI APIs.
                                      Why C is Correct: Rate limiting restricts the number of requests a client can make to an API within a defined time window. In this scenario, a brute-force DoS attack works by sending a massive volume of requests to exhaust the model ' s resources. Rate limiting would have automatically throttled or blocked the excessive request volume, preventing the attack from succeeding and preserving service availability for legitimate hospital users.
                                      Why A is Wrong: Tokenization replaces sensitive data values with non-sensitive placeholders. It is a data security control for protecting sensitive information such as patient identifiers, not a control for managing API request volumes or preventing DoS attacks.
                                      Why B is Wrong: Model guardrails filter and constrain model inputs and outputs for safety and policy compliance. They inspect content quality, not request volume, and cannot prevent a volume-based DoS attack.
                                      Why D is Wrong: A prompt firewall inspects the content of prompts for malicious patterns or policy violations. Like guardrails, it analyzes content rather than controlling request frequency and cannot prevent resource exhaustion from a high-volume brute-force attack.


                                      NEW QUESTION # 62
                                      A user interface engineer adds new graphics to the latest release of an AI-integrated application.
                                      During the update, the engineer accidentally causes the model to retain on unverified data. After the update, the model begins to return many errors. Which of the following is the best way to mitigate future errors?

                                      Answer: C

                                      Explanation:
                                      Following a secure and structured model development life cycle (MDLC) ensures controls such as data validation, verification, and testing are in place. This prevents issues like retraining on unverified data and reduces the likelihood of future model errors.


                                      NEW QUESTION # 63
                                      A company discovers that attackers exploited an unpatched vulnerability in a web server. Which control BEST prevents this?

                                      Answer: D

                                      Explanation:
                                      Timely patching directly prevents exploitation of known vulnerabilities.


                                      NEW QUESTION # 64
                                      ......

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