Security Now · Wednesday, August 26, 2026
A research paper suggests that the fundamental mechanism of Large Language Models (LLMs) is inherently insecure, making them susceptible to prompt injection. This issue stems from a phenomenon known as 'role confusion' within the AI's processing.
“I'm finally getting to share the the the the revelation for me, and I know it was for you, that that occurred during the plane flight to Las Vegas for Black Hat.”
“Yeah, the the uh, uh, the role confusion. That is, uh, uh, the researchers who realized that the fundamental problem we had with prompt injection comes from something known as role confusion, which then makes you wonder, wait a minute, rolls, what what what's the role?”
“The paper that talks about the underlying mechanism in an LLM and why it is not only inherently insecure, it will never be anything but insecure.”