Update confidential computing overview

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

@@ -20,7 +20,7 @@ Azure provides the broadest support for hardened technologies such as [AMD SEV-S
 - Confidential VMs that use AMD SEV-SNP. [DCasv5](/azure/virtual-machines/dcasv5-dcadsv5-series) and [ECasv5](/azure/virtual-machines/ecasv5-ecadsv5-series) enable rehosting of existing workloads and help to protect data from cloud operators with VM-level confidentiality. [DCasv6 and ECasv6](https://techcommunity.microsoft.com/blog/azureconfidentialcomputingblog/preview-new-dcasv6-and-ecasv6-confidential-vms-based-on-4th-generation-amd-epyc%E2%84%A2/4303752) confidential VMs based on fourth-generation AMD EPYC processors are currently in gated preview and offer enhanced performance.
 - Confidential VMs that use Intel TDX. [DCesv6](/azure/virtual-machines/sizes/general-purpose/dcesv6-series) and [ECesv6](/azure/virtual-machines/ecesv6-series) enable rehosting of existing workloads and help to protect data from cloud operators with VM-level confidentiality.
 - Confidential VMs with graphics processing units (GPUs). [NCCadsH100v5](/azure/virtual-machines/sizes/gpu-accelerated/nccadsh100v5-series) confidential VMs come with a GPU and help to ensure data security and privacy while boosting AI and machine learning tasks. These confidential VMs use linked CPU and GPU Trusted Execution Environments (TEEs) to [protect sensitive data in the CPU and a GPU to accelerate computations](https://techcommunity.microsoft.com/blog/azureconfidentialcomputingblog/general-availability-azure-confidential-vms-with-nvidia-h100-tensor-core-gpus/4242644). They're ideal for organizations that need to protect data from cloud operators and use high-performance computing.
-- VMs with application enclaves that use Intel SGX. [DCsv2](/azure/virtual-machines/dcv2-series), [DCsv3, and DCdsv3](/azure/virtual-machines/dcv3-series) enable organizations to create hardware enclaves. These secure enclaves help to protect VMs from cloud operators and an organization's own VM admins.
+- VMs with application enclaves that use Intel SGX. [DCsv3 and DCdsv3](/azure/virtual-machines/dcv3-series) enable organizations to create hardware enclaves. These secure enclaves help to protect VMs from cloud operators and an organization's own VM admins.
 - [Confidential VM Azure Kubernetes Service (AKS) worker nodes](/azure/confidential-computing/confidential-node-pool-aks) that allow rehosting of containers to AKS clusters. Worker nodes based on AMD SEV-SNP hardware help to protect data from cloud operators with worker-node level confidentiality and provide the configuration flexibility of AKS.
 - [Confidential containers on Azure Container Instances](/azure/container-instances/container-instances-confidential-overview) that allow rehosting of containers to the serverless container instances that run on AMD SEV-SNP hardware. Confidential containers support container-level integrity and attestation via [confidential computing enforcement (CCE) policies](/azure/container-instances/container-instances-confidential-overview#confidential-computing-enforcement-policies). These policies prescribe the components that are allowed to run within the container group. The container runtime enforces the policy. This policy helps to protect data from the cloud operator and internal threat actors with container-level confidentiality.
 - [App enclave-aware containers](enclave-aware-containers.md) that run on AKS. Confidential computing nodes on AKS use Intel SGX to create isolated enclave environments in the nodes between each container application.