Seattle—June 18, 2024—Today, we are happy to announce new releases and enhancements to Azure AI Translator Service. We are introducing a new endpoint which unifies document translation async batch and sync operation and the SDKs are updated. Now, you can use and deploy document translation features in your organization to translate documents through Azure AI Studio and SharePoint without writing any code. Azure AI Translator container is now enhanced to translate both text and documents.

Overview

Document translation offers two operations: asynchronous batch and synchronous. Depending on the scenario, customers may use either operations or a combination of both. Today, we are delighted to announce that both operations have been unified and will share the same endpoint.

Asynchronous batch operation:                                                                                                  

Asynchronous batch translation supports the processing of multiple documents and large files. The batch translation processes source documents from an Azure Blob storage and uploads translated documents back into it.

The endpoint for the asynchronous batch operation is getting updated to:

{your-document translation-endpoint}/translator/document/batches?api-version=[Date]

The service will continue to support backward compatibility for the deprecated endpoint. We recommend new customers adapt the latest endpoint as new functions in the future will be added to the same.

Synchronous operation:

Synchronous operation supports the processing of single document translation. It accepts source document as part of the request body, processes the document in memory and return translated document as part of the response body.

{your-document translation-endpoint}/translator/document:translate?api-version=[Date]

This unification is aimed to provide customers with consistency and simplicity while using either of the document translation operations.

Updated SDK

The updated document translation SDK supports both asynchronous batch operation and synchronous operation. Here’s how you can leverage it:

To run a translation operation for a document, you need a Translator endpoint and credentials. You can use the DefaultAzureCredential to try a number of common authentication methods optimized for both running as a service and development. The samples below uses a Translator API key credential by creating an AzureKeyCredential object. You can set endpoint and apiKey based on an environment variable, a configuration setting, or any way that works for your application.

Asynchronous batch method:

Creating a DocumentTranslationClient

string endpoint = “<Document Translator Resource Endpoint>”;
string apiKey = “<Document Translator Resource API Key>”;
SingleDocumentTranslationClient client = new SingleDocumentTranslationClient(new Uri(endpoint), new AzureKeyCredential(apiKey));

To Start a translation operation for documents in a blob container, call StartTranslationAsync. The result is a Long Running operation of type DocumentTranslationOperation which polls for the status of the translation operation from the API. To call StartTranslationAsync you need to initialize an object of type DocumentTranslationInput which contains the information needed to translate the documents.

Uri sourceUri = new Uri(“<source SAS URI>”);
Uri targetUri = new Uri(“<target SAS URI>”);
var input = new DocumentTranslationInput(sourceUri, targetUri, “es”);

DocumentTranslationOperation operation = await client.StartTranslationAsync(input);

await operation.WaitForCompletionAsync();

Console.WriteLine($” Status: {operation.Status}”);
Console.WriteLine($” Created on: {operation.CreatedOn}”);
Console.WriteLine($” Last modified: {operation.LastModified}”);
Console.WriteLine($” Total documents: {operation.DocumentsTotal}”);
Console.WriteLine($” Succeeded: {operation.DocumentsSucceeded}”);
Console.WriteLine($” Failed: {operation.DocumentsFailed}”);
Console.WriteLine($” In Progress: {operation.DocumentsInProgress}”);
Console.WriteLine($” Not started: {operation.DocumentsNotStarted}”);

await foreach (DocumentStatusResult document in operation.Value)
{
Console.WriteLine($”Document with Id: {document.Id}”);
Console.WriteLine($” Status:{document.Status}”);
if (document.Status == DocumentTranslationStatus.Succeeded)
{
Console.WriteLine($” Translated Document Uri: {document.TranslatedDocumentUri}”);
Console.WriteLine($” Translated to language code: {document.TranslatedToLanguageCode}.”);
Console.WriteLine($” Document source Uri: {document.SourceDocumentUri}”);
}
else
{
Console.WriteLine($” Error Code: {document.Error.Code}”);
Console.WriteLine($” Message: {document.Error.Message}”);
}
}

Synchronous method:

Creating a SingleDocumentTranslationClient

string endpoint = “<Document Translator Resource Endpoint>”;
string apiKey = “<Document Translator Resource API Key>”;
SingleDocumentTranslationClient client = new SingleDocumentTranslationClient(new Uri(endpoint), new AzureKeyCredential(apiKey));

To start a synchronous translation operation for a single document, call DocumentTranslate. To call DocumentTranslate you need to initialize an object of type MultipartFormFileData which contains the information needed to translate the documents. You would need to specify the target language to which the document must be translated to.

try
{
string filePath = Path.Combine(“TestData”, “test-input.txt”);
using Stream fileStream = File.OpenRead(filePath);
var sourceDocument = new MultipartFormFileData(Path.GetFileName(filePath), fileStream, “text/html”);
DocumentTranslateContent content = new DocumentTranslateContent(sourceDocument);
var response = client.DocumentTranslate(“hi”, content);

var requestString = File.ReadAllText(filePath);
var responseString = Encoding.UTF8.GetString(response.Value.ToArray());

Console.WriteLine($”Request string for translation: {requestString}”);
Console.WriteLine($”Response string after translation: {responseString}”);
}
catch (RequestFailedException exception)
{
Console.WriteLine($”Error Code: {exception.ErrorCode}”);
Console.WriteLine($”Message: {exception.Message}”);
}

Ready to use solution in Azure AI Studio

Customers can easily build apps for their document translation needs using the SDK. One such example is the document translation tool in the Azure AI Studio, which was announced to be generally available at //build 2024. Here is a glimpse of how you may translate documents in this user interface:

SharePoint document translation

The document translation integration in SharePoint lets you easily translate a selected file or a set of files into a SharePoint document library. This feature lets you translate files of different types either manually or automatically by creating a rule.

Learn more about the SharePoint integration here.

You can also use the translation feature for translating video transcripts and closed captioning files. More information here.

Document translation in container is generally available

In addition to the above updates, earlier this year, we announced the release of document translation and transliteration features for Azure AI Translator containers as preview. Today, both capabilities are generally available. All Translator container customers will get these new features automatically as part of the update.

Translator containers provide users with the capability to host the Azure AI Translator API on their own infrastructure and include all libraries, tools, and dependencies needed to run the service in any private, public, or personal computing environment. They are isolated, lightweight, portable, and are great for implementing specific security or data governance requirements.

With that update, the following are the operations that are now supported in Azure AI Translator containers:

Text translation: Translate the text phrases between supported source and target language(s) in real-time.
Text transliteration: Converts text in a language from one script to another script in real-time. 
Document translation: Translate a document between supported source and target language while preserving the original document’s content structure and format.

References

User documentation
Document translation overview
Document translation API guide
Document translation SDK
Translate documents in Azure AI studio
SharePoint integration
Stream integration
Translator container

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Dear Experts,

                   I have an issue like this

So in Column A,B,C we have TEST sets TEST2/3/4 and have some items( rnti) in Column F/G we have the items( from another object say UE here) with TEST2/3/4 in column”F”,

I want to have the Common RNTI’s in both gNB/UE in Column K/K/L, example shown in J3/J4

Also , want to have the UE rnti’s in the same format as gNB(rnti’s) in column O/P/Q…, tried to do a failed attempt in Column “O”

Thanks in Advance,

Br,

Anupam

​Dear Experts,                   I have an issue like thisSo in Column A,B,C we have TEST sets TEST2/3/4 and have some items( rnti) in Column F/G we have the items( from another object say UE here) with TEST2/3/4 in column”F”, I want to have the Common RNTI’s in both gNB/UE in Column K/K/L, example shown in J3/J4 Also , want to have the UE rnti’s in the same format as gNB(rnti’s) in column O/P/Q…, tried to do a failed attempt in Column “O”Thanks in Advance,Br,Anupam   Read More

​

Introduction

In today’s dynamic and ever-evolving cloud environment, ensuring strong security measures is essential. This involves not only implementing the right tools, but also having effective processes in place to oversee and maintain these security measures. With Azure Firewall Manager, Microsoft offers a comprehensive and centralized platform to simplify the management of multiple firewalls at scale, addressing the challenges of managing security in a dynamic cloud landscape.

Illumio for Microsoft Azure Firewall helps Azure Firewall customers enforce Zero Trust Segmentation and go beyond network and application filtering. It helps the firewall operations teams understand rules with rich context of the resources they are protecting. With rich context, administrators can easily determine which resource is secured by the rule, who owns it, and perform rule lifecycle management more confidently.

By combining the robust features of Azure Firewall and Azure Firewall Manager with Illumio’s expertise in Zero Trust Segmentation, we aim to provide our customers with a powerful solution to navigate the complexities of modern cloud security effectively.

Illumio support in Azure Firewall Manager

Azure Firewall Manager is a centralized platform for managing firewalls, along with other core network security services, at scale. Illumio for Microsoft Azure Firewall is now directly accessible within Azure Firewall Manager.

Customers can seamlessly enable Illumio for Microsoft Azure Firewall by navigating to the “What’s New” section within Azure Firewall Manager.

This integrated approach enables users to more easily implement Illumio for Microsoft Azure Firewall and enable a comprehensive set of features and tools that seamlessly complement Azure Firewall, streamlining firewall management and bolstering overall network security measures.

Spotlight features

The Illumio platform boasts several standout features designed to streamline network security management and empower administrators of all skill levels. With its intuitive interface and robust capabilities, Illumio simplifies complex tasks and enhances visibility across the network. Let’s delve into some key features and walkthroughs for leveraging the platform effectively:

Comprehensive Network Overview:

Begin your day with a comprehensive view of your Azure network components and their status. Illumio offers a state-of-the art topology dashboard that provides real-time traffic flow data and visualizations. This dashboard enables administrators to visualize all network zones and their interconnections. By identifying which components are communicating with each other, administrators can quickly assess network health and pinpoint any potential security issues or anomalies requiring attention.

Adaptive Zero Trust Segmentation:

Zero Trust Segmentation or micro-segmentation is a critical strategy for reducing the attack surface and containing lateral movement within the network. Illumio micro-segmentation capabilities allows administrators to create logical segmentation policies based on workload attributes and communication patterns.

As an example, Illumio offers a robust labeling system, which adds a layer of contextual understanding and simplicity to the segmentation process. Labels serve as an intuitive way to categorize and identify different components within the network environment. Administrators can assign custom labels to workloads based on various criteria such as function, department, sensitivity, or compliance requirements. These labels, which can be in the form of text descriptors like “Dev workload,” “HR workload,” or “Sales workload,” offer a clear and contextual representation of the resources they represent.

As a result, administrators can create rules that explicitly permit or restrict traffic based on these labeled workloads, instead of relying on a set of IP addresses that are dynamic or more prone to errors. This enhances visibility and situational awareness across the networks, enhancing security posture and streamlining policy management.

Simulating and testing changes of the firewall policies.

Once Azure Firewall rules and policies have been configured, it’s important to validate these changes to ensure your organization’s network security standards are complying. Illumio offers features that streamline the process of simulating and testing firewall policy modifications.

Policy simulation: Illumio provides a policy simulation environment that enables administrators to forecast the impact of proposed firewall policy changes before implementation. By simulating different scenarios, one can assess potential security risks and validate the effectiveness of their policy adjustments without disrupting live production. This proactive approach helps prevent misconfigurations, reducing the likelihood of security breaches or service interruptions.

Traffic analysis: In addition, Illumio offers advanced traffic analysis that allows administrators to inspect network traffic patterns through Azure Firewall in real-time. This visibility enables administrators to adjust firewall policies to ensure that only authorized traffic is permitted, enhancing overall network security posture.

Conclusion

Whether an organization has a handful of firewalls or a vast network with numerous instances, Azure Firewall Manager addresses the common challenges security teams face when scaling Azure Firewall. Illumio helps to fill these gaps by making the deployment process of Illumio for Microsoft Azure Firewall more accessible, faster, and efficient for security teams of any size.

Read a step-by-step tutorial on getting started with Illumio for Microsoft Azure Firewall from the Azure Network Security Blog.

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