finish drafts of tut/concept split

Author: PatrickFarley

articles/ai-services/computer-vision/concept-face-liveness-detection.md

@@ -18,7 +18,7 @@ feedback_help_link_url: https://learn.microsoft.com/answers/tags/156/azure-face
 
 This article explains the concept of Face liveness detection, its input and output schema, and related concepts.
 
-## What it does
+## Introduction
 
 Face Liveness detection is used to determine if a face in an input video stream is real (live) or fake (spoofed). It's an important building block in a biometric authentication system to prevent imposters from gaining access to the system using a photograph, video, mask, or other means to impersonate another person.
 
@@ -61,18 +61,9 @@ You can combine face verification with liveness detection to verify that the fac
 
 Use the following tips to ensure that your input images give the most accurate recognition results:
 
-TBD
+[!INCLUDE [identity-input-id-verification-composition](includes/identity-input-id-verification-composition.md)]
 
-<!--[!INCLUDE [identity-input-id-verification-composition](includes/identity-input-id-verification-composition.md)]-->
 
-### Data privacy
-
-We do not store any images or videos from the Face Liveness Check. No image/video data is stored in the liveness service after the liveness session has been concluded. Moreover, the image/video uploaded during the liveness check is only used to perform the liveness classification to determine if the user is real or a spoof (and optionally to perform a match against a reference image in the liveness-with-verify-scenario), and it cannot be viewed by any human and will not be used for any AI model improvements.
-
-TBD
-#### - Do you include any runtime application self-protections (RASP)? (concept) 
-
-Yes, we include additional RASP protections on our Mobile SDKs (iOS and Android) provided by [GuardSquare]( https://www.guardsquare.com/blog/why-guardsquare). 
 
 ## Output format
 
@@ -81,13 +72,23 @@ The liveness detection API returns a JSON object with the following information:
 - Optionally a Face Verification result can be obtained if the liveness check is performed with verification (see [Perform liveness detection with face verification](#perform-liveness-detection-with-face-verification)).
 - A quality filtered "session-image" that can be used to store for auditing purposes or for human review or to perform further analysis using the Face service APIs.
 
+
+### Data privacy
+
+We do not store any images or videos from the Face Liveness Check. No image/video data is stored in the liveness service after the liveness session has been concluded. Moreover, the image/video uploaded during the liveness check is only used to perform the liveness classification to determine if the user is real or a spoof (and optionally to perform a match against a reference image in the liveness-with-verify-scenario), and it cannot be viewed by any human and will not be used for any AI model improvements.
+
+## Security
+
+We include additional runtime application self-protections (RASP), provided by [GuardSquare]( https://www.guardsquare.com/blog/why-guardsquare), in our Mobile SDKs (iOS and Android). 
+
 ## Support options
 
 In addition to using the main [Azure AI services support options](../../cognitive-services-support-options.md), you can also post your questions in the [issues](https://github.com/Azure-Samples/azure-ai-vision-sdk/issues) section of the SDK repo. 
 
 
-## Next steps
+## Next step
 
 Now that you're familiar with liveness detection concepts, implement liveness detection in your app.
 
-* [Face liveness detection](./tutorials/liveness.md)
+> [!div class="nextstepaction"]
+> [Face liveness detection](./tutorials/liveness.md)

articles/ai-services/computer-vision/tutorials/liveness.md

@@ -773,29 +773,23 @@ The high-level steps involved in liveness with verification orchestration are il
     curl --request DELETE --location "${FACE_ENDPOINT}/face/v1.2/detectLivenesswithVerify-sessions/<session-id>" \
     --header "Ocp-Apim-Subscription-Key: ${FACE_APIKEY}"
     ```
-
     ---
 
-## (optional) do additional face tbd
-
-Optionally, you can do further face identity operations after the liveness check.
-
-TBD Can I perform further face analysis (e.g. age) and/or face identity operations along with a Face Liveness Check? (tutorial – at the end as a next step to do more face analysis) 
-
-Yes, you can.  
 
-- To enable this, you will need to set the "enableSessionImage" parameter to "true" during the Session-Creation step (see step 2 of [Perform liveness detection](#perform-liveness-detection)).  
-
-- After the session completes, you can extract the "sessionImageId" from the Session-Get-Result step (see step 8 of [Perform liveness detection](#perform-liveness-detection)). 
-
-- You can now either download the session-image (referenced in [Liveness Get Session Image Operation](/rest/api/face/liveness-session-operations/get-session-image)), or provide "sessionImageId" in the [/detect](/rest/api/face/face-detection-operations/detect-from-session-image-id) operation to continue to perform other face analysis or face identity operations (referenced in [Concept Face Detection](../concept-face-detection.md) and [Concept Face Recognition](../concept-face-recognition.md)). 
+## Next step 
 
+Optionally, you can do further face identity operations after the liveness check, such as face analysis (to get face attributes, for example) and/or face identity operations.
+1. To enable this, you'll need to set the "enableSessionImage" parameter to "true" during the [Session-Creation step](#perform-liveness-detection).  
+1. After the session completes, you can extract the "sessionImageId" from the [Session-Get-Result step](#perform-liveness-detection).
+1. You can now either download the session-image (referenced in [Liveness Get Session Image Operation API](/rest/api/face/liveness-session-operations/get-session-image)), or provide the "sessionImageId" in the [Detect from Session Image ID API](/rest/api/face/face-detection-operations/detect-from-session-image-id) operation to continue to perform other face analysis or face identity operations. 
+For more information on these operations, see [Face detection concepts](../concept-face-detection.md) and [Face Recognition concepts](../concept-face-recognition.md). 
 
 
 ## Support options
 
 In addition to using the main [Azure AI services support options](../../cognitive-services-support-options.md), you can also post your questions in the [issues](https://github.com/Azure-Samples/azure-ai-vision-sdk/issues) section of the SDK repo. 
 
+
 ## Related content
 
 To learn how to integrate the liveness solution into your existing application, see the Azure AI Vision SDK reference.