After a wave of bogus AI‑generated reports, a researcher used several AI scanning tools to flag dozens of genuine issues in curl, leading to about 50 merged fixes. The maintainer notes these tools uncovered problems established static analyzers missed, but only when steered by someone with domain expertise.
— This demonstrates a viable human‑in‑the‑loop model where AI augments expert security review instead of replacing it, informing how institutions should adopt AI for software assurance.
EditorDavid
2025.10.12
100% relevant
Daniel Stenberg’s statement that Rogers’ AI‑assisted reports led to ~50 bugfixes and that the tools found issues 'none of the old, established tools detect.'
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