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Prompt injection: understanding the #1 vulnerability in LLM applications
Applications built on large language models can be hijacked by instructions hidden in the data they process. Here is how the attack works and how to defend against it.
Translated from French by AI. The original French article is the reference version.
Prompt injection involves slipping malicious instructions into the text processed by a large language model (LLM) in order to make it ignore its original instructions.
Direct and indirect injection
Direct injection comes from the user themselves. Indirect injection, which is more insidious, hides in content the application reads: a web page, an email, a shared document.
How to protect yourself
- Treat all external data as untrusted;
- Limit the permissions of the tools the model can access;
- Require human approval for sensitive actions;
- Log and monitor abnormal behavior.
Method: article written and verified by Frédéric LENQUETTE, sources cited below.
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