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NVIDIA AI Red Team · August 3, 2023

Securing LLM Systems Against Prompt Injection

guide AI Red TeamingAgent SecurityPrompt Injection
Why it matters

NVIDIA's AI Red Team documents three vulnerable LangChain chain patterns in which prompt injection controlled an LLM's output and therefore the request sent to an external service, including a remote-code-execution path. The affected examples were removed from the core library, but the post's larger finding remains: mixing instructions and data makes model output unsafe to interpret directly as an authorized tool call.

My takeaway: Update affected dependencies, then design for the persistent system-level risk. Treat model output as attacker-controlled, expose narrow and typed tool operations, validate every argument outside the model, apply the least privilege shared by all prompt contributors, preserve authorization across multi-tool chains, and regression-test direct and indirect injection against consequential service calls.
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