A system architect is evaluating a newly introduced generative technology for code creation. The security team has observed scripts referencing unsupported libraries. Management wants to maintain the speed advantage of this new method while improving reliability. Which approach meets this goal?
Incorporate human validation along with rule-based checks before putting generated scripts into service
Depend on the built-in scanning function to detect most potential issues
Let the generator update configurations across machines when required
Place generated scripts in a private repository without planned review from team members
Adding a peer evaluation step with rule-based checks provides oversight for any unexpected outputs. Human reviewers and automated rules help ensure that the generated material is fit for production. Simply storing it without review removes an important safeguard. Giving the tool complete redeployment authority may replicate incorrect data. Relying on a built-in scanning feature may miss environment-specific vulnerabilities.
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What are rule-based checks in the context of script validation?
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Why is human validation important for generated scripts?
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What risks could arise from relying on built-in scanning features alone for code evaluation?