Prompt injections, the malicious commands attackers embed into content to entice LLMs to follow them, have been attackers’ go-to tool for turning AI platforms against their user ...
In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with the increasing ...
In Part 1, we established why LLMs are vulnerable: the attention mechanism treats all input tokens equally, with no architectural separation between trusted instructions and untrusted user data. Now ...
A new study by the Mount Sinai Icahn School of Medicine examines six large language models – and finds that they're highly susceptible to adversarial hallucination attacks. Researchers tested the ...
When the OWASP Top 10 for LLM Applications arrived, it did the industry a real service. It gave security teams a stable, vendor-neutral vocabulary for a threat surface that was moving too fast to ...
Application security solution provider White Source Ltd., also known as Mend.io, today launched System Prompt Hardening, a dedicated capability designed to detect issues within the hidden instructions ...
New research suggests that AI models from rival companies are becoming more alike in their creative answers, potentially ...
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