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| Section | Weight | Objectives |
|---|---|---|
| Basic AI Concepts Related to Cybersecurity | 17% | - Generative AI Concepts
|
| Securing AI Systems | 40% | - AI System Protection
|
| AI-Assisted Security | 24% | - Operational Use of AI
|
| AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
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NEW QUESTION # 39
A manufacturing company wants to use AI within its operations to improve the efficiency and accuracy of its processes.
Which of the following should the organization do first to enable adoption and achieve the business objectives?
Answer: D
Explanation:
Basic Concept: Successful AI adoption requires human expertise to translate business objectives into appropriate technical AI strategies. Before selecting tools, frameworks, or certifications, organizations need qualified professionals who can assess requirements, design solutions, and guide implementation. CompTIA SecAI+ Study Guide addresses AI adoption governance and role responsibilities.
Why B is Correct: Hiring a data and AI architect is the essential first step because this role bridges business requirements and technical AI capabilities. The architect assesses the organization ' s data maturity, identifies appropriate AI use cases aligned with manufacturing objectives, designs the technical architecture, and guides technology selection. Without this expertise, subsequent decisions about models, certifications, or frameworks may be poorly aligned with actual business needs.
Why A is Wrong: ISO 42001 certification for AI management systems is an appropriate governance milestone but requires an existing AI program to certify. Pursuing certification before establishing AI capabilities and expertise puts the governance cart before the operational horse.
Why C is Wrong: Selecting an LLM before understanding the organization ' s specific use cases, data landscape, and technical requirements is premature. LLMs may not even be the appropriate AI technology for manufacturing process optimization, which often benefits more from computer vision or predictive analytics.
Why D is Wrong: Introducing a GAN before conducting a needs assessment and hiring qualified architects is technology-first thinking that ignores whether GANs address the specific manufacturing efficiency and accuracy objectives. GANs are also specialized architectures not suited for general manufacturing process improvement.
NEW QUESTION # 40
Which of the following should an auditor reference when reviewing a company ' s human resources AI systems for legal non-compliance?
Answer: B
Explanation:
Basic Concept: Various regulatory frameworks govern AI use in different contexts. For auditing legal compliance in high-risk AI applications such as employment and HR, binding regulatory legislation takes precedence over voluntary standards. CompTIA SecAI+ Exam Objectives cover AI governance and compliance frameworks under Domain 4.
Why C is Correct: The EU AI Act is the world ' s first comprehensive, legally binding AI regulation. It explicitly classifies AI systems used in employment, worker management, and recruitment as high-risk AI systems, subjecting them to strict compliance requirements including conformity assessments, transparency obligations, and human oversight mandates. An auditor reviewing HR AI for legal non-compliance must reference this binding legislation.
Why A is Wrong: The OECD AI Principles are non-binding international guidelines promoting responsible AI. They offer policy guidance but carry no legal enforcement power for compliance auditing.
Why B is Wrong: The NIST AI RMF is a voluntary, risk management-focused framework. It is not a legal compliance standard and cannot be used to assess legal non-compliance.
Why D is Wrong: ISO standards such as ISO 42001 are voluntary international best practice standards. They are not legal compliance instruments with enforceable penalties for HR AI systems.
NEW QUESTION # 41
Which of the following is the most impactful security risk associated with the use of a generative AI chatbot?
Answer: D
Explanation:
The most significant risk with generative AI chatbots is data leakage, where sensitive or regulated information could be exposed through prompts or outputs. This risk directly impacts confidentiality and compliance, making it more critical than access scope, encryption, or validation concerns.
NEW QUESTION # 42
An organization is concerned with the exposure of sensitive data.
Which of the following is the most relevant security concern?
Answer: C
Explanation:
Basic Concept: AI models can inadvertently memorize sensitive information from their training data. Certain attack techniques can exploit this memorization to extract private information from a deployed model, even without direct access to the training dataset. CompTIA SecAI+ Study Guide covers model inversion as an AI- specific data exposure attack vector.
Why B is Correct: Model inversion is an attack where an adversary queries a deployed AI model with carefully crafted inputs to reconstruct or infer sensitive training data. For example, an attacker could query a facial recognition model with optimized images to reconstruct faces of individuals from the training set, or query a medical diagnosis model to infer patient records used in training. This directly exposes sensitive data that was supposed to be protected.
Why A is Wrong: Overfitting is a model training quality issue where a model learns training data too specifically and performs poorly on new data. While it can indicate that sensitive data was memorized, overfitting itself is a performance concern rather than directly a data exposure attack vector.
Why C is Wrong: Data normalization is a preprocessing technique that scales numerical features to a common range to improve training performance. It is a data preparation step with no direct relevance to sensitive data exposure or privacy attacks.
Why D is Wrong: Hyperparameter tuning adjusts configuration parameters of a model to optimize its performance during training. It is an optimization technique with no relevance to protecting against sensitive data exposure attacks.
NEW QUESTION # 43
A global security operations center (SOC) wants to adapt and leverage the strength of AI in order to enhance its security operations. Which of the following is the best way to enhance the global SOC functions?
Answer: A
Explanation:
AI can significantly enhance SOC operations by summarizing and correlating high volumes of alerts, enabling analysts to quickly identify patterns, prioritize threats, and gain actionable insights. This reduces analyst fatigue and improves response times without introducing unsafe automation risks.
NEW QUESTION # 44
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