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| Section | Weight | Objectives |
|---|---|---|
| Governance, Risk, and Compliance | 14% | - Compare and contrast various types of security controls - Given a scenario, follow organizational security policies and procedures - Explain risk management processes and concepts - Summarize regulations, standards, and frameworks that impact organizations - Explain privacy and sensitive data concepts in relation to security |
| Operations and Incident Response | 16% | - Explain key aspects of digital forensics - Summarize the importance of policies, processes, and procedures for incident response - Given a scenario, use data sources to support an investigation - Given a scenario, apply mitigation techniques or controls to secure an environment - Given a scenario, use appropriate tool to assess organizational security |
| Architecture and Design | 21% | - Explain the importance of security concepts in an enterprise environment - Summarize basics of cryptographic concepts - Given a scenario, implement cybersecurity resilience - Summarize virtualization and cloud security concepts - Explain secure application development, deployment, and automation concepts - Explain the security implications of embedded and specialized systems - Explain the importance of physical security controls - Summarize authentication and authorization design concepts |
| Attacks, Threats, and Vulnerabilities | 24% | - Compare and contrast types of social engineering attacks - Given a scenario, analyze potential indicators to determine the type of attack - Given a scenario, analyze potential indicators associated with network attacks - Explain vulnerability scanning concepts - Given a scenario, analyze potential indicators associated with application attacks - Explain penetration testing concepts - Explain threat actor types and attributes |
| Implementation | 25% | - Given a scenario, implement identity and account management controls - Given a scenario, implement secure mobile device policies - Given a scenario, apply cybersecurity solutions to the cloud - Given a scenario, implement secure host settings - Given a scenario, implement secure systems design - Given a scenario, implement authentication and authorization solutions - Given a scenario, implement public key infrastructure (PKI) - Given a scenario, implement secure network architecture concepts |
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問題 #86
After the deployment of an AI system, an organization is unable to identify who approved the system and the method of validation. Which of the following governance failures occurred?
答案：C
解題說明：
An audit trail is the governance mechanism that preserves evidence of actions, decisions, approvals, validation activities, and responsible parties throughout the lifecycle of an AI system. If the organization cannot establish who authorized deployment or how the system was validated, the fundamental problem is missing traceability and historical evidence. This is precisely what an audit trail should provide. CompTIA SecAI+ emphasizes governance roles, model validation, monitoring, auditing for quality and compliance, and accountability throughout the AI lifecycle. A completed threat model documents threats and attack scenarios, but it would not necessarily record deployment approval or validation evidence. Blueprint controls are not the primary mechanism for preserving historical authorization records. Organizational policies may define that approval and validation must occur, but merely having policies does not demonstrate that the required actions actually occurred. Proper audit records would identify the approver, validation method, relevant results, dates, model version, and other governance evidence. Therefore, the inability to reconstruct those decisions indicates the absence of an adequate audit trail.
問題 #87
A cybersecurity administrator must examine the cost of AI and implement controls so the research environment operates within a specified budget.
Which of the following controls is best for this situation?
答案：A
解題說明：
Basic Concept: Operating AI systems within a budget requires direct control over the primary cost driver of LLM usage. For research environments where users may run extensive queries, token consumption management is the most effective budget control mechanism. CompTIA SecAI+ Study Guide covers token limits as the key cost management control for AI environments.
Why D is Correct: Token limits set hard caps on the maximum tokens consumed per request and per session, directly controlling the per-interaction cost of LLM API usage. In a research environment where users may submit complex, multi-part queries generating long responses, token limits prevent any single interaction from consuming disproportionate budget and enable the administrator to enforce aggregate budget constraints across all users and research activities.
Why A is Wrong: Prompt firewalls inspect and filter prompt content for security and policy compliance. They are security controls designed to prevent malicious or policy-violating prompts, not financial controls for managing token consumption or enforcing budget limits.
Why B is Wrong: API access controls manage authentication and authorization for API interactions, governing who can connect to the AI API. While restricting API access could limit who uses the system, it does not control how much budget individual authorized users consume through their research queries.
Why C is Wrong: Model guardrails enforce content policy and behavioral constraints on model inputs and outputs. They ensure safe and appropriate responses but do not limit the computational resources or tokens consumed by interactions, making them unsuitable as budget enforcement controls.
問題 #88
Which of the following would most likely be used to prove that an image is AI generated?
答案：C
解題說明：
Basic Concept: As AI-generated images become increasingly indistinguishable from authentic photographs, technical mechanisms are needed to definitively identify synthetic content. Embedding verifiable markers in AI-generated content at creation time provides a reliable provenance trail. CompTIA SecAI+ Study Guide covers digital content authentication and AI provenance controls.
Why D is Correct: Watermarking embeds invisible or visible identifying markers into AI-generated images at the point of creation. These watermarks can be cryptographic, steganographic, or perceptual in nature and survive compression, cropping, and other common image manipulations. When an image ' s provenance is questioned, watermark detection tools can analyze it to confirm AI generation. This is the primary technical mechanism for proving AI image origin as supported by the Content Authenticity Initiative and C2PA standards.
Why A is Wrong: Human validation relies on subjective visual inspection by experts to determine if an image appears AI-generated. Modern AI image generation has advanced to the point where human reviewers frequently cannot distinguish synthetic from authentic images, making this approach unreliable for definitive proof.
Why B is Wrong: Guardrails are input and output filtering controls for AI systems. They restrict what content an AI can generate but do not create verifiable proof of an image ' s AI origin after generation.
Why C is Wrong: Diffusion refers to the diffusion model architecture used to generate images. It describes the creation process, not a verification mechanism. Knowing that diffusion models were used does not help prove a specific image was AI-generated after the fact.
問題 #89
A SOC analyst identifies that a user extracted the full system prompt from the company ' s chatbot by prompting it to repeat the last query and provide the entire conversation context. Which of the following mitigations reduces the risk to the AI system?
答案：B
解題說明：
Basic Concept: System prompt extraction is an attack where users manipulate an LLM into revealing its confidential system instructions. This violates the confidentiality of proprietary prompts and can expose security controls and business logic to adversaries. CompTIA SecAI+ Study Guide identifies guardrails as the primary control for preventing system prompt disclosure.
Why C is Correct: Enhancing model guardrails can specifically include instructions and filters that prevent the model from revealing its system prompt contents, regardless of how users attempt to extract them. Guardrails can detect and block attempts to retrieve conversation history, repeat system-level instructions, or disclose confidential operational context. This directly addresses the demonstrated attack where the user prompted the chatbot to reveal its entire context including the system prompt.
Why A is Wrong: Restricting the LLM ' s access to internal services limits what external resources the model can query. While this reduces the potential impact of system compromise, it does not prevent the model from disclosing its own system prompt in response to carefully crafted user queries.
Why B is Wrong: Data version control tracks changes to datasets and documents over time. It is a data management tool that does not inspect or control what the model discloses in its conversational responses to users.
Why D is Wrong: Segregating and identifying external content is relevant for preventing prompt injection from external data sources. It does not directly prevent a user from successfully prompting the model to reveal its own internal system instructions.
問題 #90
Customer feedback for an AI chatbot has a high-rate of non-answers, which is causing higher central processing unit (CPU) utilization. Which of the following should be implemented?
答案：D
解題說明：
Implementing a response confidence level ensures the chatbot only provides answers when the model is sufficiently confident. This reduces irrelevant or empty responses, improving user experience and lowering unnecessary CPU utilization.
問題 #91
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