A fundamental flaw leaves LLMs strikingly vulnerable to attack
- Source
- MIT Technology Review - AI Topic
- Source link
- https://www.technologyreview.com/2026/07/30/1140927/a-fundamental-flaw-leaves-llms-vulnerable-to-attack/
- Published
- 2026-07-30 10:15:19
- Discovered by ProcIntel
- 2026-07-31 07:49:36
- Category
- Procurement Technology & AI
- Geography
- Global
- Organisations
- —
- Review status
- Pending
- Record type
- REAL
Summary
It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which…
Procurement Relevance Gate
FAIL
— score 7.0/100 — evaluated 2026-07-31 08:55:19
Only geographic exposure matched — no substantive content indicator, so this cannot pass alone.
- geographic_exposure (weight 8) — matched on "1 linked geography"
Initial Signal Assessment ProcIntel's automatic, provisional read of this individual Signal -- Initial Significance and Initial Confidence, computed deterministically before any Event extraction or human review.
A provisional, automatically-computed reading of this individual Signal, before Event extraction or human review. Not a final rating.
Not Assessed — this Signal did not pass the Procurement Relevance Gate, or is fictional/excluded test data.