fixes Face Liveness Detection ISO conformance docs

Author: dipidoo

articles/ai-foundry/responsible-ai/face/characteristics-and-limitations.md

@@ -40,7 +40,7 @@ You can use the [Fairness Assessment Sample Notebook](https://go.microsoft.com/f
 
 ## How accurate is the facial liveness detection model? 
 
-The facial liveness detection solution from Microsoft is conformant to [ISO/IEC 30107-3:2017 – Biometric presentation attack detection – Part 3: Testing and reporting](https://webstore.ansi.org/standards/iso/isoiec301072017-1662258) standard as validated by iBeta level 1 and level 2 conformance testing. 
+The facial liveness detection solution from Microsoft achieved a 0% penetration rate in [iBeta Level 1 and 2 Presentation Attack Detection (PAD) tests](https://servicetrust.microsoft.com/DocumentPage/ea3fa18f-3940-4c0b-aa96-41cb50898aee), conducted by a NIST/NVLAP-accredited laboratory and conformant to the [ISO/IEC 30107-3 PAD international standard](https://www.iso.org/standard/79520.html).
 
 ## Tradeoffs
 

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

@@ -26,7 +26,7 @@ The goal of liveness detection is to ensure that the system is interacting with
 
 The Azure AI Face liveness detection solution successfully defends against various spoof types ranging from paper printouts, 2D/3D masks, and spoof presentations on phones and laptops. Liveness detection is an active area of research, with continuous improvements being made to counteract increasingly sophisticated spoofing attacks. Continuous improvements are rolled out to the client and the service components over time as the overall solution gets more robust to new types of attacks.
 
-The Azure Face liveness detection API is [conformant to ISO/IEC 30107-3 PAD (Presentation Attack Detection) standards](https://www.ibeta.com/wp-content/uploads/2023/11/230622-Microsoft-PAD-Level-2-Confirmation-Letter.pdf) as validated by iBeta level 1 and level 2 conformance testing.
+The Azure AI Face liveness detection API achieved a 0% penetration rate in [iBeta Level 1 and 2 Presentation Attack Detection (PAD) tests](https://servicetrust.microsoft.com/DocumentPage/ea3fa18f-3940-4c0b-aa96-41cb50898aee), conducted by a NIST/NVLAP-accredited laboratory and conformant to the [ISO/IEC 30107-3 PAD international standard](https://www.iso.org/standard/79520.html).
 
 ## How it works
 

articles/ai-services/computer-vision/overview-identity.md

@@ -88,7 +88,7 @@ The goal of liveness detection is to ensure that the system is interacting with
 
 The liveness detection solution successfully defends against a variety of spoof types ranging from paper printouts, 2d/3d masks, and spoof presentations on phones and laptops. Liveness detection is an active area of research, with continuous improvements being made to counteract increasingly sophisticated spoofing attacks over time. Continuous improvements will be rolled out to the client and the service components over time as the overall solution gets more robust to new types of attacks.
 
-Our liveness detection solution meets [iBeta Level 1 and 2 ISO/IEC 30107-3](https://www.ibeta.com/wp-content/uploads/2023/11/230622-Microsoft-PAD-Level-2-Confirmation-Letter.pdf) compliance.
+Our liveness detection solution meets achieved a 0% penetration rate in [iBeta Level 1 and 2 Presentation Attack Detection (PAD) tests](https://servicetrust.microsoft.com/DocumentPage/ea3fa18f-3940-4c0b-aa96-41cb50898aee), conducted by a NIST/NVLAP-accredited laboratory and conformant to the [ISO/IEC 30107-3 PAD international standard](https://www.iso.org/standard/79520.html).
 
 Tutorials
 - [Face liveness Tutorial](Tutorials/liveness.md)

articles/ai-services/computer-vision/whats-new.md

@@ -114,7 +114,7 @@ The other features of Image Analysis, such as model customization, background re
 
 The Face Liveness SDK supports liveness detection on your users' mobile or edge devices. It's available in Java/Kotlin for Android and Swift/Objective-C for iOS.
 
-Our liveness detection service meets iBeta Level 1 and 2 ISO/IEC 30107-3 compliance.
+Our liveness detection service achieved a 0% penetration rate in [iBeta Level 1 and 2 Presentation Attack Detection (PAD) tests](https://servicetrust.microsoft.com/DocumentPage/ea3fa18f-3940-4c0b-aa96-41cb50898aee), conducted by a NIST/NVLAP-accredited laboratory and conformant to the [ISO/IEC 30107-3 PAD international standard](https://www.iso.org/standard/79520.html).
 
 ## September 2023