OpenAI-Hugging Face breach took 48 hours to spot; Snort would flag it in minutes
AlexTensor · x · 2026-09-04
The author argues the OpenAI–Hugging Face intrusion was a cybersecurity problem, not an AI problem. Citing a video analysis: Hugging Face's LLM took roughly 48 hours to detect the breach, while conventional tools like Snort and Tripwire generate alerts within minutes. The core point: security frameworks must assume human (or AI-enabled) error and organizational failure are inevitable, so systems must stay secure even when the software is called AI.
More from Safety
- Security voices defend open-weight models: closed-model safeguards are trivial to bypass — joshua_saxe · 2026-10-21
- GitHub HQ Hosts Open Source AI + Policy Talk with Mozilla Co-founder Mitchell Baker — kevinsxu · 2026-10-21
- Researcher Finds Two Windows 0-Days, First in 76 Minutes with a Frontier Model — moyix · 2026-10-21
- Stanford's Noah Goodman shares interactive AI safety concept map — stanfordnlp · 2026-10-21
- AI agents are overwhelming Gmail's spam filter, researcher warns — LuizaJarovsky · 2026-10-21
- AI safety researcher Sören Mindermann moves to Tsinghua, co-founds Beijing AI Safety Hub — dhadfieldmenell · 2026-10-21