Hardening LLM-based Applications: Insights from NVIDIA’s AI Red Team

The blog by the NVIDIA AI Red Team outlines three major security risks in large-language-model applications: executing model-generated code without sandboxing (leading to remote code execution), insecure permissions in retrieval-augmented-generation (RAG) stores enabling data leaks or prompt injection, and active content rendering (images/links) in LLM outputs causing inadvertent exfiltration. They recommend replacing exec/eval with safe mappings, enforcing per-user permissions on RAG data, and sanitising or disabling dynamic link/image content 

https://developer.nvidia.com/blog/practical-llm-security-advice-from-the-nvidia-ai-red-team

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