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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI-Assisted Security | 24% | - Security Operations Enhancement
|
| Topic 2: Basic AI Concepts Related to Cybersecurity | 17% | - AI and Machine Learning Fundamentals
|
| Topic 3: Securing AI Systems | 40% | - Adversarial Defense
|
| Topic 4: AI Governance, Risk, and Compliance | 19% | - Risk and Compliance
|
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NEW QUESTION # 136
A team of data scientists is ready to release a model for enterprise use. The team wants to protect the model from unintentional changes or tampering. Which of the following is the most appropriate action?
Answer: D
Explanation:
Protecting the model from tampering requires controlled and auditable access. By integrating the model with an API secured by IAM roles, only authenticated and authorized users or systems can interact with it, ensuring integrity and preventing unauthorized changes.
NEW QUESTION # 137
A security administrator wants to prevent prompt injection attacks and ensure responses have sanitized output.
Which of the following provides a primary compensating control for these requirements?
Answer: A
Explanation:
Basic Concept: Preventing prompt injection and ensuring output sanitization requires a control that can inspect both the semantic content of incoming prompts and the safety of outgoing responses. This requires an intelligent, context-aware filtering layer specifically designed for LLM traffic. CompTIA SecAI+ Study Guide identifies LLM firewalls as a primary control for prompt security and output safety.
Why C is Correct: An LLM firewall is specifically designed to inspect, filter, and sanitize both incoming prompts and outgoing AI responses. It can detect and block prompt injection attempts using pattern matching, semantic analysis, and behavioral heuristics, while also sanitizing output to remove sensitive data, harmful content, or policy violations before responses reach users. This dual capability makes it the primary control addressing both requirements simultaneously.
Why A is Wrong: Least privilege restricts what resources and actions users and systems can access. It reduces the potential impact of successful attacks but does not inspect prompt content for injection attempts or sanitize model outputs.
Why B is Wrong: Encryption protects data confidentiality in transit and at rest. It does not analyze prompt content for malicious patterns or filter AI-generated responses for unsafe content. Encrypted traffic can still carry prompt injection attacks.
Why D is Wrong: Rate limiting controls request frequency. While it can slow down automated injection attack campaigns, it does not inspect the content of individual prompts to detect injections, nor does it sanitize output responses. Malicious prompts can still succeed within rate limits.
NEW QUESTION # 138
A healthcare organization plans to deploy a chatbot for appointment scheduling and patient records. Which of the following is the first step a security administrator should take?
Answer: D
Explanation:
Before deploying an AI chatbot that will handle sensitive healthcare data, the first step is to conduct a risk assessment. This identifies potential threats, compliance requirements (such as HIPAA), and security gaps, ensuring proper controls are planned before implementation.
NEW QUESTION # 139
Which of the following is an example of how a security analyst uses generative AI in the triage process?
Answer: B
Explanation:
Basic Concept: Generative AI produces natural language content based on input data. In a security operations context, triage involves rapidly understanding and prioritizing security events. Generative AI ' s strength lies in synthesizing information and producing readable summaries from complex data. CompTIA SecAI+ Study Guide covers generative AI applications in security operations.
Why C is Correct: Summarizing security findings by category is a natural application of generative AI in triage. The AI can process large volumes of alerts and security events, group them by type or severity, and generate concise natural language summaries that enable analysts to quickly understand the current threat landscape without reading individual alerts. This directly reduces triage time and cognitive load.
Why A is Wrong: Predicting the next attack target requires predictive analytics and threat intelligence correlation. While AI can assist with this, it is a forecasting task better suited to analytical ML models rather than generative AI, and it is a strategic intelligence function rather than a triage task.
Why B is Wrong: Statistical analysis for malicious code assessment uses mathematical and ML techniques to analyze code characteristics. This is a traditional ML classification task, not a generative AI application, and is performed during malware analysis rather than alert triage.
Why D is Wrong: Tagging malware using ML algorithms is a classification task that uses supervised ML models trained on malware features. It is a detection and classification function, not a generative AI triage application.
NEW QUESTION # 140
Which of the following is required first in order to send a prompt query and response in a language model (LLM) system when authentication is enabled?
Answer: B
Explanation:
Basic Concept: When authentication is enabled on an LLM system, users must prove their identity before the system processes any requests. The authentication process must occur at the point where users first attempt to access the system before any data can be transmitted. CompTIA SecAI+ Study Guide covers the order of authentication controls in AI system access architectures.
Why B is Correct: Endpoint access control is the first requirement when authentication is enabled, as it governs the initial connection from the user ' s device to the system. Before any prompt can be sent or response received, the endpoint must be authenticated and authorized to access the LLM service. Endpoint access control verifies user identity and device compliance at the earliest possible point in the request flow, gating all subsequent processing.
Why A is Wrong: A front-end web proxy gateway routes and manages web traffic between users and backend services. While it may participate in the authentication flow, it is a routing and mediation component that operates after the endpoint has been validated, not the first authentication requirement.
Why C is Wrong: An API gateway manages API traffic, authentication tokens, and rate limiting for API interactions. It processes requests after initial endpoint authentication has been established and the request is being routed to the LLM backend.
Why D is Wrong: A back-end access gateway controls access to backend services and resources. It operates downstream from both endpoint authentication and API gateway processing, representing a deeper layer of the access control architecture rather than the first authentication requirement.
NEW QUESTION # 141
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