Researchers find fundamental flaw makes LLMs impossible to secure against hacks

By PulseAugur Editorial · [1 sources] · 2026-07-31 07:57

A team of researchers has identified a fundamental flaw in large language models that makes them inherently insecure and impossible to fully protect against hacks. This vulnerability was detailed in a paper presented at the International Conference on Machine Learning. AI

IMPACT This research suggests that current LLM architectures have inherent security vulnerabilities that may not be fully addressable, potentially impacting trust and adoption.

RANK_REASON The cluster is about a research paper detailing a vulnerability in LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Researchers find fundamental flaw makes LLMs impossible to secure against hacks

COVERAGE [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-31 07:57

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

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. # ai # llm # machinelea…

LINKS technologyreview.com/…/a-fundamental-flaw… technologyreview.com/…/3

COVERAGE [1]

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

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