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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementation | 25% | - Given a scenario, implement identity and account management controls - Given a scenario, implement secure systems design - Given a scenario, implement secure host settings - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure mobile device policies - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement secure network architecture concepts - Given a scenario, implement authentication and authorization solutions |
| Topic 2: Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators associated with application attacks - Explain threat actor types and attributes - Given a scenario, analyze potential indicators to determine the type of attack - Explain vulnerability scanning concepts - Explain penetration testing concepts - Given a scenario, analyze potential indicators associated with network attacks |
| Topic 3: Operations and Incident Response | 16% | - Summarize the importance of policies, processes, and procedures for incident response - Explain key aspects of digital forensics - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use data sources to support an investigation - Given a scenario, use appropriate tool to assess organizational security |
| Topic 4: Architecture and Design | 21% | - Explain the importance of security concepts in an enterprise environment - Summarize authentication and authorization design concepts - Summarize basics of cryptographic concepts - Explain the importance of physical security controls - Given a scenario, implement cybersecurity resilience - Explain the security implications of embedded and specialized systems - Explain secure application development, deployment, and automation concepts - Summarize virtualization and cloud security concepts |
| Topic 5: Governance, Risk, and Compliance | 14% | - Compare and contrast various types of security controls - Summarize regulations, standards, and frameworks that impact organizations - Explain risk management processes and concepts - Explain privacy and sensitive data concepts in relation to security - Given a scenario, follow organizational security policies and procedures |
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NEW QUESTION # 88
A cybersecurity analyst must use pattern recognition on a data set containing unstructured data.
Which of the following models is the best for this task?
Answer: C
Explanation:
Convolutional neural networks (CNNs) are highly effective at detecting patterns in unstructured data such as images, audio, or text embeddings. Their ability to automatically learn spatial or hierarchical features makes them the best choice for pattern recognition on unstructured datasets.
NEW QUESTION # 89
What control reduces the impact radius when a single host is compromised?
Answer: B
Explanation:
Segmentation isolates systems and limits lateral movement.
NEW QUESTION # 90
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: D
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 # 91
As a compliance requirement, a large language model (LLM) application requires setting up guardrails.
Which of the following resources is most appropriate to use?
Answer: D
Explanation:
Basic Concept: When implementing guardrails for compliance purposes, organizations need a recognized framework or standard that provides authoritative guidance on what guardrails should address and how to implement them. Compliance guardrails require industry-recognized standards as their basis. CompTIA SecAI+ Study Guide identifies OWASP as the primary reference for LLM application security controls including guardrails.
Why B is Correct: OWASP provides the OWASP Top 10 for Large Language Model Applications, which is a recognized industry resource defining the most critical vulnerabilities in LLM applications and the guardrails needed to mitigate them. Using OWASP as the reference for compliance-required guardrails provides a defensible, industry-standard basis for the security controls implemented, satisfying compliance requirements with authoritative guidance on what guardrails should prevent and how they should function.
Why A is Wrong: RAG is an AI architecture that enhances LLM responses with retrieved external context. It is a capability enhancement technique, not a framework for defining or implementing security guardrails for compliance purposes.
Why C is Wrong: LLM libraries are software development toolkits that provide functions for working with language models. While they may include built-in guardrail features, they are implementation tools, not the governance resource or standard that compliance guardrail requirements should be based upon.
Why D is Wrong: A SIEM is a security monitoring and alerting platform that aggregates and analyzes log data. It is a detection and monitoring tool, not a framework that defines what guardrails are required for LLM application compliance.
NEW QUESTION # 92
A SOC analyst notices a sudden spike in outbound traffic from a server. The traffic is being sent continuously to an unknown external IP address. Which of the following BEST describes this behavior?
Answer: C
Explanation:
A sudden and sustained outbound transfer to an unknown IP is a common sign of data exfiltration.
NEW QUESTION # 93
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