A developer on your team is tasked with creating a complex log parsing script. To save time, they copy and paste several examples of production log data, which includes user IP addresses and timestamps, into a public, third-party AI chat service to generate the script. The company has a strict policy about how internal data is handled. Which principle of responsible AI use has the developer primarily violated?
Prompt engineering to get a more optimized script.
Verifying the output of the AI for accuracy and security flaws.
Adhering to corporate policy on data governance.
Using a local, privately-hosted AI model instead of a public one.
The correct answer is that the developer has violated the corporate policy regarding data governance. Submitting proprietary or sensitive data, such as production logs containing user IP addresses, to a public, third-party AI service is a significant data security and confidentiality risk. Most corporate policies strictly forbid the use of external, non-approved services for processing internal data to prevent data leakage and loss of intellectual property. While the other options represent good AI usage practices, the core violation in this scenario is the breach of data governance policy.
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CompTIA Linux+ XK0-006 (V8)
Automation, Orchestration, and Scripting
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