LLMs Cannot Be Fully Secured Against Hacks, Research Finds
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- Large language models have a fundamental flaw that leaves them 'strikingly vulnerable to attack,' according to the newsletter's lead item.
- The Download asserts it is 'impossible' to make LLMs fully secure against hacks, framing the limitation as inherent rather than a patching problem.
Why it matters: Framing LLM security as fundamentally unfixable — rather than a solvable engineering gap — reframes enterprise risk from 'patch and move on' to 'assume compromise,' raising the stakes for any product routing sensitive data through these models.
