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[ARTICLE · art-127512] src=news.ycombinator.com ↗ pub= topic=ai-safety verified=true sentiment=· neutral

Ask HN: What is the most overlooked risk in the AI security domain?

A Hacker News user posting as ToriTech asked the site's community what the most overlooked risk in the AI security domain is, specifically seeking AI/ML or LLM vulnerabilities beyond prompt injection that typical pentesting methods struggle to catch. The Ask HN post, submitted 28 minutes before the page was captured, drew 1 point and asks how pentesters will need to change to find such flaws.

by read1 min views3 publishedSep 12, 2026

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|  |  | [Ask HN: What is the most overlooked risk in the AI security domain?](item?id=49669858) |

| | | 1 point by ToriTech28 minutes ago |hide |past |favorite |discuss | | | | As someone who's interested in pentesting and red-teaming in general, I'm wondering what are some more dangerous AI/ML or LLM related vulnerabilities besides your usual prompt injection. Specifically, what kinds of flaws are harder to catch with typical pentesting methods, and how do you think pentesters are going to have to change to find them? |

source & further reading
news.ycombinator.com — original article Ask HN: Did anyone try to build game engine purely for LLM Ask HN: Did Google kill its enterprise workhorse model? Ask HN: How are much smarter AI models made?
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