CY0-001 · Question #95
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?
The correct answer is C. Implementing a large language model (LLM) in the continuous integration and continuous. 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.
Question
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?
Options
- ADeploying an integrated development environment (IDE) plug-in that will warn developers of
- BUsing a security orchestration, automation, and response (SOAR) with a machine learning (ML)
- CImplementing a large language model (LLM) in the continuous integration and continuous
- DDeveloping an agentic penetration testing tool to validate potential vulnerable code
How the community answered
(39 responses)- A15% (6)
- B3% (1)
- C74% (29)
- D8% (3)
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.
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