(Don't) Trust, but (Don't) Verify: Developers' Attention to Security in AI-Generated Code

Reported by arXiv cs.CR (Hamza Khalid, Ronald E. Thompson III, Alejandra Sabater, Perucy Mussiba, Kelsey R. Fulton, Daniel Votipka)

Summary by Cyber Security News21 Sep 2026, 06:00 CEST

About this summary. This is a short, independently written summary of an article first published by arXiv cs.CR. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2609.21020

arXiv:2609.21020v1 Announce Type: new Abstract: AI coding assistants are rapidly transforming software development, but are known to produce insecure code. Prior work has measured whether AI-assisted developers produce secure code, but less is known about how they evaluate AI-generated code: whether they can identify vulnerabilities, what cues they use, and how trust shapes their decisions.

Read the full article at arXiv cs.CR →

Source attribution: headline and facts are from arXiv cs.CR (arxiv.org). Summary method: excerpt of the source description. See our source attribution policy.

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