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| Section | Weight | Objectives |
|---|---|---|
| Governance, Risk, and Compliance | 14% | - Summarize regulations, standards, and frameworks that impact organizations - Compare and contrast various types of security controls - Explain privacy and sensitive data concepts in relation to security - Explain risk management processes and concepts - Given a scenario, follow organizational security policies and procedures |
| Architecture and Design | 21% | - Summarize virtualization and cloud security concepts - Summarize basics of cryptographic concepts - Explain the security implications of embedded and specialized systems - Explain secure application development, deployment, and automation concepts - Summarize authentication and authorization design concepts - Given a scenario, implement cybersecurity resilience - Explain the importance of physical security controls - Explain the importance of security concepts in an enterprise environment |
| Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Explain threat actor types and attributes - Explain penetration testing concepts - Given a scenario, analyze potential indicators associated with application attacks - Given a scenario, analyze potential indicators to determine the type of attack - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with network attacks |
| Implementation | 25% | - Given a scenario, implement secure systems design - Given a scenario, implement identity and account management controls - Given a scenario, implement secure network architecture concepts - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement secure mobile device policies - Given a scenario, implement secure host settings |
| Operations and Incident Response | 16% | - Given a scenario, apply mitigation techniques or controls to secure an environment - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, use data sources to support an investigation - Explain key aspects of digital forensics - Given a scenario, use appropriate tool to assess organizational security |
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NEW QUESTION # 131
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:
Rate limiting restricts the number of API requests within a specific timeframe, preventing brute- force attempts that can overwhelm the AI model and cause denial-of-service conditions.
NEW QUESTION # 132
A security analyst is preparing a presentation for the sales team that describes the most common vulnerabilities that are specific to AI applications.
Which of the following is the best source for the analyst to consult?
Answer: B
Explanation:
Basic Concept: Identifying AI-specific application vulnerabilities requires consulting a resource that has cataloged and documented the unique vulnerability types that affect AI systems, particularly LLMs. Different security standards serve different purposes, and selecting the right reference for AI application vulnerabilities is essential. CompTIA SecAI+ Study Guide references OWASP for AI application vulnerability guidance.
Why C is Correct: OWASP maintains the OWASP Top 10 for Large Language Model Applications, which specifically catalogs the most critical and common vulnerabilities in AI applications including prompt injection, sensitive information disclosure, excessive agency, insecure output handling, and training data poisoning. This AI-specific vulnerability list is the most directly relevant and accessible resource for a presentation on AI application vulnerabilities.
Why A is Wrong: ISO 27001 is a general information security management system standard covering broad organizational security controls. It does not specifically catalog AI application vulnerabilities or LLM-specific weakness categories.
Why B is Wrong: CWE catalogues software weakness types at a code and design level for traditional software. While some weaknesses apply to AI systems, CWE does not have a dedicated AI application vulnerability taxonomy comparable to the OWASP LLM Top 10.
Why D is Wrong: NIST RMF is a risk management framework providing guidance for managing and reducing information security risk. It is a process framework, not a vulnerability catalog, and does not list specific AI application vulnerability types suitable for a vulnerabilities presentation.
NEW QUESTION # 133
Which of the following is the most impactful security risk associated with the use of a generative AI chatbot?
Answer: D
Explanation:
Basic Concept: Generative AI chatbots interact with users in natural language and may access organizational knowledge bases, databases, or prior conversations. The conversational nature of these systems creates unique risks around sensitive information disclosure. CompTIA SecAI+ Study Guide ranks data leakage as the primary security concern for generative AI chatbots.
Why B is Correct: Data leakage occurs when a generative AI chatbot inadvertently reveals sensitive information including PII, confidential business data, intellectual property, training data, or system configurations in its responses. This can happen through prompt injection attacks, insufficient output filtering, or the model memorizing and reproducing sensitive training data. The impact is immediate, potentially irreversible, and can result in regulatory violations, competitive disadvantage, and reputational damage.
Why A is Wrong: Overly permissive access is a contributing factor that can exacerbate data leakage but is an access control design issue rather than the most directly impactful runtime risk of operating a generative AI chatbot.
Why C is Wrong: Weak encryption is a data protection concern for data in transit or at rest. While important, it is a configuration issue separate from the generative AI chatbot ' s core operational risks and is not specific to chatbot technology.
Why D is Wrong: Model validation ensures a model performs as expected before deployment. While important for quality assurance, it is a development lifecycle activity rather than an ongoing operational security risk associated with running a chatbot.
NEW QUESTION # 134
What control reduces the impact radius when a single host is compromised?
Answer: C
Explanation:
Segmentation isolates systems and limits lateral movement.
NEW QUESTION # 135
A company uses human review for software development validation and wants to add another validation layer. Which of the following should a security administrator use to accomplish task?
Answer: B
Explanation:
AI-assisted approval adds an automated validation layer alongside human review, helping detect potential security or quality issues in software development before deployment. This strengthens the overall validation process.
NEW QUESTION # 136
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