Free CY0-001 Exam Braindumps
CompTIA SecAI+ Questions 31–35 (page: 8)

Updated On: 17-Sep-2026

A security operations center (SOC) analyst needs to automate multiple security tasks by breaking them down into smaller parts.
Which of the following AI tools is the best for this task?

  1. Agentic AI
  2. Retrieval-augmented generation (RAG) AI
  3. Generative AI
  4. Chatbot

Answer(s): A

Explanation:

Agentic AI is designed to autonomously break down complex tasks into smaller steps and execute them in sequence. This makes it the best tool for automating multiple security tasks in a SOC environment.



Which of the following responsible AI standards refers to a principle that clearly states the reasons behind the decisions for a particular conclusion?

  1. Accountability
  2. Auditability
  3. Transparency
  4. Explainability

Answer(s): D

Explanation:

Explainability is the responsible AI principle that ensures AI systems can provide clear reasoning for their decisions, allowing users to understand how and why a particular conclusion was reached.



A detection engineering team wants to use AI to automatically prevent vulnerable code from reaching production.
Which of the following is the most effective way to accomplish this task?

  1. Deploying an integrated development environment (IDE) plug-in that will warn developers of dangerous code before compiling
  2. Using a security orchestration, automation, and response (SOAR) with a machine learning (ML) model to classify code
  3. Implementing a large language model (LLM) in the continuous integration and continuous deployment (CI/
    CD) runner to examine code and pass or fail build jobs
  4. Developing an agentic penetration testing tool to validate potential vulnerable code

Answer(s): C

Explanation:

Integrating an LLM into the CI/CD pipeline ensures automated code review at build time, blocking vulnerable code from reaching production. This enforces security checks consistently and effectively during the deployment process.



A penetration tester is assessing the controls of a deployed AI system that is designed to search and return the contents of files. The tester runs the following:

Which of the following is the best control to prevent abuse of the system?

  1. Implementing custom detection rules for anomalous model behavior
  2. Segmenting the workload into a separate virtual private cloud (VPC)
  3. Adding a large language model (LLM) guardrails library to the application code
  4. Reducing the privilege scope of the service account

Answer(s): D

Explanation:

The penetration test shows that the system accepts arbitrary commands like deleteBuckets or listPermissions, which could lead to privilege abuse. The most effective control is least privilege, ensuring the service account only has access to what is strictly necessary (e.g., reading files) and not sensitive operations like deleting buckets or altering permissions.



A customer-facing, AI-powered chatbot has been jailbroken through prompt injections. As a result, the AI model is offering a 99% discount on the purchase of a new vehicle.
Which of the following should be implemented to enhance the model’s robustness against such attacks?

  1. Bias filtering
  2. System prompt
  3. Log monitoring
  4. Guardrails

Answer(s): D

Explanation:

Guardrails enforce strict rules on what the AI model can and cannot do, preventing malicious prompt injections from overriding intended behavior. In this case, guardrails would stop the chatbot from generating unauthorized offers such as extreme discounts.



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