Merge pull request #266975 from michamcr/patch-79

Update overview-azure-products.md

Author: prmerger-automator[bot]

articles/confidential-computing/overview-azure-products.md

@@ -35,7 +35,7 @@ Azure confidential computing can help you:
 
 ## Azure offerings
 
-Confidential computing support is expanding from foundational virtual machine, GPU and container offerings up to data, virtual desktop and managed HSM services with many more being planned based on customer demand.
+Confidential computing support is expanding from foundational virtual machine, GPU and container offerings up to data, virtual desktop and managed HSM services with many more being planned.
 
 :::image type="content" source="media/overview-azure-products/confidential-computing-product-line.jpg" alt-text="Diagram of the various confidential computing enabled VM SKUs, container and data services.":::
 
@@ -55,15 +55,16 @@ Verifying that applications are running confidentially form the very foundation
 
 - [Always Encrypted with secure enclaves in Azure SQL](/sql/relational-databases/security/encryption/always-encrypted-enclaves). The confidentiality of sensitive data is protected from malware and high-privileged unauthorized users by running SQL queries directly inside a TEE. 
 
-
-Technologies like [Intel Software Guard Extensions](https://www.intel.com.au/content/www/au/en/architecture-and-technology/software-guard-extensions-enhanced-data-protection.html) (Intel SGX), or [AMD Secure Encrypted Virtualization](https://www.amd.com/en/processors/amd-secure-encrypted-virtualization) (SEV-SNP) are recent CPU improvements supporting confidential computing implementations. These technologies are designed as virtualization extensions and provide feature sets including memory encryption and integrity, CPU-state confidentiality and integrity, and attestation, for building the confidential computing threat model. Azure Computational Computing leverages these technologies in the following computation resources: 
+Technologies such as [AMD SEV-SNP](https://www.amd.com/en/processors/amd-secure-encrypted-virtualization), [Intel SGX](https://www.intel.com.au/content/www/au/en/architecture-and-technology/software-guard-extensions-enhanced-data-protection.html) and [Intel TDX](https://www.intel.com/content/www/us/en/developer/tools/trust-domain-extensions/overview.html) provide silicon-level hardware implementations of confidential computing. These technologies are designed as virtualization extensions and provide feature sets including memory encryption and integrity, CPU-state confidentiality and integrity, and attestation, for building the confidential computing threat model. Azure Computational Computing leverages these technologies in the following computation resources: 
 
 - [VMs with Intel SGX application enclaves](confidential-computing-enclaves.md). Azure offers the [DCsv2](../virtual-machines/dcv2-series.md), [DCsv3, and DCdsv3](../virtual-machines/dcv3-series.md) series built on Intel SGX technology for hardware-based enclave creation. You can build secure enclave-based applications to run in a series of VMs to protect your application data and code in use.
 
 - [App-enclave aware containers](enclave-aware-containers.md) running on Azure Kubernetes Service (AKS). Confidential computing nodes on AKS use Intel SGX to create isolated enclave environments in the nodes between each container application.
 
 - Confidential VMs based on [AMD SEV-SNP technology](https://azure.microsoft.com/blog/azure-and-amd-enable-lift-and-shift-confidential-computing/) enable lift-and-shift of existing workloads and protect data from the cloud operator with VM-level confidentiality.
 
+- Confidential VMs based on [Intel TDX technology](https://azure.microsoft.com/blog/azure-confidential-computing-on-4th-gen-intel-xeon-scalable-processors-with-intel-tdx/) enable lift-and-shift of existing workloads and protect data from the cloud operator with VM-level confidentiality.
+
 - [Confidential Inference ONNX Runtime](https://github.com/microsoft/onnx-server-openenclave), a Machine Learning (ML) inference server that restricts the ML hosting party from accessing both the inferencing request and its corresponding response.
 
 ## Next steps