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| Section | Weight | Objectives |
|---|---|---|
| AI-assisted Security | 24% | - AI in security strategy and operations
|
| AI Governance, Risk and Compliance | 19% | - Risk management for AI
|
| Securing AI Systems | 40% | - Secure AI development and operations
|
| Basic AI Concepts Related to Cybersecurity | 17% | - AI-driven threats and risks
|
>> CompTIA CY0-001 Lab Questions <<
Passing the CompTIA CY0-001 certification exam is not a tough thing to do but we make it so. The main reason is that we don't know how to study from the CY0-001 exam questions we have. We assume that we can study one night and can easily take the CompTIA SecAI+ Certification Exam CY0-001 Exam the next morning. This was possible only when we were the school. Now, it is not possible.
NEW QUESTION # 22
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: D
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 # 23
A security alert triggers an agentic system. An analyst notices the following payload in the logs. The alert includes multiple shell commands that are not typically run as part of any hardening:
Which of the following is the most effective control to implement?
Answer: C
Explanation:
Basic Concept: Agentic AI systems that execute shell commands based on model-generated output are vulnerable to prompt injection attacks where malicious actors craft inputs that cause the agent to run unauthorized commands. Input validation using allowlists is a critical defense mechanism. CompTIA SecAI+ Study Guide covers agentic AI security controls.
Why A is Correct: Adding logic that validates shell commands against an approved allowlist before execution is the most direct and effective defense. This ensures only pre-approved, safe commands can be executed regardless of what the agentic system ' s model generates, preventing malicious command injection from reaching the operating system. This principle of allowlist-based input validation is a foundational secure agentic AI control.
Why B is Wrong: Deprecating and retraining the model is a lengthy process that addresses root cause training issues but does not provide immediate protection against ongoing injection attacks in the current deployed system.
Why C is Wrong: Modifying the application to ignore a specific tag merely removes one attack surface while leaving the system vulnerable to other injection vectors. It is not a comprehensive defense.
Why D is Wrong: Using only approved libraries controls which code libraries the agentic system can call, but does not validate or restrict the shell commands generated by the model at runtime based on arbitrary user input.
NEW QUESTION # 24
Which of the following is the primary security risk when deploying AI models in production?
Answer: B
Explanation:
Basic Concept: When AI models are deployed in production, they interact with real data including sensitive business information, personal data, and confidential records. The intersection of AI capabilities and sensitive data creates significant security risks. CompTIA SecAI+ Exam Objectives identify data exposure as the primary production security risk for AI deployments.
Why D is Correct: Data exposure is the primary security risk in production AI deployments. AI models in production process sensitive data through queries and responses, and vulnerabilities such as prompt injection, model inversion attacks, insecure output handling, and misconfigured access controls can expose confidential training data, user PII, proprietary information, or system credentials. The consequences include regulatory violations, legal liability, and reputational damage, making data exposure the most critical ongoing security concern.
Why A is Wrong: GPU acceleration is a performance optimization technique that uses graphics processors for faster AI computation. While hardware security is important, GPU acceleration itself is not a security risk - it is a performance feature that does not inherently expose data.
Why B is Wrong: Model overfitting is a model quality issue where a model performs poorly on new data after memorizing training data too specifically. While it can indirectly contribute to data memorization, it is primarily a performance and generalization concern during development rather than a primary production security risk.
Why C is Wrong: Model encryption is a security control used to protect AI model weights from unauthorized access, not a risk itself. Framing a protection mechanism as a primary risk conflates controls with threats.
NEW QUESTION # 25
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?
Answer: D
Explanation:
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.
NEW QUESTION # 26
An organization develops a chatbot with the following requirements:
- Does not provide harmful or explicit responses
- Must use clean and professional language
- Ensures that responses are accurate
Which of the following should the organization conduct after the chatbot is fully developed but before a customer-facing deployment?
Answer: A
Explanation:
Guardrail testing and validation ensure the chatbot adheres to safety, language, and accuracy requirements before deployment. This step verifies the model will not generate harmful, explicit, or unprofessional responses in a customer-facing environment.
NEW QUESTION # 27
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