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Update How_to_Protect_AI_Models_in_Cloud_Native_Environments.md #187

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Update How_to_Protect_AI_Models_in_Cloud_Native_Environments.md #187

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4 changes: 2 additions & 2 deletions docs/How_to_Protect_AI_Models_in_Cloud_Native_Environments.md
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Expand Up @@ -52,7 +52,7 @@ from ccnp import Measurement, MeasurementType
imr_measurement = Measurement.get_platform_measurement(MeasurementType.TYPE_TDX_RTMR, None, 1)
```

CCNP API detail documentation can be found [here](https://intel.github.io/confidential-cloud-native-primitives/).
CCNP API detail documentation can be found [here](https://cc-api.github.io/confidential-cloud-native-primitives).

### 1.3 Attestation by using Confidential Cloud-Native Primitives (CCNP)

Expand All @@ -67,7 +67,7 @@ quote=Quote.get_quote()

CNAP project’s Inference Service flow of getting AI model should be updated to support TEE environment since the AI model has been encrypted:

- Deploy CCNP as a [DaemonSet](https://intel.github.io/confidential-cloud-native-primitives/_rst/service.quote.html#deploy-as-daemonset-in-kubernetes), it will detect the TEE environment.
- Deploy CCNP as a [DaemonSet](https://cc-api.github.io/confidential-cloud-native-primitives/kubernetes_deployment.html), it will detect the TEE environment.
- Fetch and verify event logs.
- Get the quote and request the key from KBS.
- Download the encrypted AI model from Model Server.
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