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Security doc update (#3043)
* documentation updates * adding more logs * adding more logs * remove M1 docs * merged Security docs * changing table
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SECURITY.md

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| Version | Supported |
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|---------| ------------------ |
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| 0.9.0 | :white_check_mark: |
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| 0.10.0 | :white_check_mark: |
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## How we do security
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- Encoding: Convert special characters into safe representations.
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- Verification: Run tooling that identifies potential script injections (e.g. [models that detect prompt injection attempts](https://python.langchain.com/docs/guides/safety/hugging_face_prompt_injection)).
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7. If you intend to run multiple models in parallel with shared memory, it is your responsibility to ensure the models do not interact or access each other's data. The primary areas of concern are tenant isolation, resource allocation, model sharing and hardware attacks.
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8. TorchServe supports token authorization: check [documentation](https://github.com/pytorch/serve/blob/master/docs/token_authorization_api.md) for more information.
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