The impact of prompt injection in LLM agents

Prompt injection is, thus far, an unresolved challenge that poses a significant threat to Language Model (LLM) integrity. This risk is particularly alarming when LLMs are turned into agents that interact directly with the external world, utilizing tools to fetch data or execute actions. Malicious actors can leverage prompt injection techniques to generate unintended and potentially harmful outcomes by distorting the reality in which the LLM operates. This is why safeguarding the integrity of these … More →

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