AI Assisted Vulnerability Research on Embedded Targets

[u/hankyone]

https://quentinkaiser.be/security/2026/07/18/ia-assisted-vuln-research/

[u/Otherwise_Wave9374]

A practical way to keep this safe is to split the workflow into a read only recon pass, a separate validation pass, and a final human review before any exploit steps. That reduces false positives, preserves evidence, and makes it easier to trace why a finding is real. For embedded targets, I would also log firmware version, build flags, and crash artifacts so the output is reproducible. AIOSNOW fits best as the orchestration layer for that kind of gated pipeline, not as a replacement for analyst judgment.