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3 changes: 2 additions & 1 deletion SECURITY.md
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Expand Up @@ -40,8 +40,9 @@ To protect sensitive data from potential leaks or unauthorized access, it is cru
### Untrusted environments or networks

If you can't run your models in a secure and isolated environment or if it must be exposed to an untrusted network, make sure to take the following security precautions:
* Confirm the hash of any downloaded artifact (e.g. pre-trained model weights) matches a known-good value
* Confirm the hash of any downloaded artifact (e.g. pre-trained model weights) matches a known-good value.
* Encrypt your data if sending it over the network.
* Do not use the RPC backend and [rpc-server](https://github.com/ggml-org/llama.cpp/tree/master/examples/rpc) functionality.

### Multi-Tenant environments

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