Escuchen a los expertos en seguridad de Microsoft en estos principales eventos de ciberseguridad en 2025

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Starting today, you can connect to your Amazon DocumentDB (with MongoDB compatibility) clusters with a single click through AWS CloudShell directly from the AWS Management Console. This new feature allows our customers to easily connect to their DocumentDB clusters directly from their browser, without requiring any local setup.

One-click connectivity with Cloudshell automatically configures VPCs, security groups, and MongoDB shell installation, eliminating the need for manual tasks like setting up security groups and ingress/egress rules. This streamlines the process for database administrators and developers, enabling them to connect quickly to their DocumentDB cluster to preview data or execute adhoc queries.

This feature is available in all AWS Regions where both Amazon DocumentDB and AWS CloudShell services are supported. For more information about region availability, see the AWS Region table. To get started, follow Get started with Amazon DocumentDB to create an Amazon DocumentDB cluster, then click the «Connect to cluster» button to connect via CloudShell.

​Starting today, you can connect to your Amazon DocumentDB (with MongoDB compatibility) clusters with a single click through AWS CloudShell directly from the AWS Management Console. This new feature allows our customers to easily connect to their DocumentDB clusters directly from their browser, without requiring any local setup. One-click connectivity with Cloudshell automatically configures VPCs, security groups, and MongoDB shell installation, eliminating the need for manual tasks like setting up security groups and ingress/egress rules. This streamlines the process for database administrators and developers, enabling them to connect quickly to their DocumentDB cluster to preview data or execute adhoc queries. This feature is available in all AWS Regions where both Amazon DocumentDB and AWS CloudShell services are supported. For more information about region availability, see the AWS Region table. To get started, follow Get started with Amazon DocumentDB to create an Amazon DocumentDB cluster, then click the «Connect to cluster» button to connect via CloudShell.  

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Malaysia).

Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

To learn more and get started, see SageMaker AI documentation and pricing page.

​Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Malaysia). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. To learn more and get started, see SageMaker AI documentation and pricing page.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6in and M6idn instances are available in AWS Europe (Zurich) region. These sixth-generation network optimized instances, powered by 3^rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, for 2x more network bandwidth over comparable fifth-generation instances. Customers can use M6in and M6idn instances to scale their performance and throughput of network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function.

M6in and M6idn instances are available in 10 different instance sizes including metal, offering up to 128 vCPUs and 512 GiB of memory. They deliver up to 100Gbps of Amazon Elastic Block Store (EBS) bandwidth, and up to 400K IOPS. M6in and M6idn instances offer Elastic Fabric Adapter (EFA) networking support on 32xlarge and metal sizes. M6idn instances offer up to 7.6 TB of high-speed, low-latency instance storage.

With this regional expansion, M6in and M6idn instances are available in the following AWS Regions: US East (Ohio, N. Virginia), US West (N. California, Oregon), Europe (Ireland, Frankfurt, Spain, Stockholm, Zurich), Asia Pacific (Mumbai, Singapore, Tokyo, Sydney), Canada (Central), and AWS GovCloud (US-West). Customers can purchase the new instances through Savings Plans, On-Demand, and Spot instances. To learn more, see M6in and M6idn instances page.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M6in and M6idn instances are available in AWS Europe (Zurich) region. These sixth-generation network optimized instances, powered by 3rd Generation Intel Xeon Scalable processors and built on the AWS Nitro System, deliver up to 200Gbps network bandwidth, for 2x more network bandwidth over comparable fifth-generation instances. Customers can use M6in and M6idn instances to scale their performance and throughput of network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function. M6in and M6idn instances are available in 10 different instance sizes including metal, offering up to 128 vCPUs and 512 GiB of memory. They deliver up to 100Gbps of Amazon Elastic Block Store (EBS) bandwidth, and up to 400K IOPS. M6in and M6idn instances offer Elastic Fabric Adapter (EFA) networking support on 32xlarge and metal sizes. M6idn instances offer up to 7.6 TB of high-speed, low-latency instance storage. With this regional expansion, M6in and M6idn instances are available in the following AWS Regions: US East (Ohio, N. Virginia), US West (N. California, Oregon), Europe (Ireland, Frankfurt, Spain, Stockholm, Zurich), Asia Pacific (Mumbai, Singapore, Tokyo, Sydney), Canada (Central), and AWS GovCloud (US-West). Customers can purchase the new instances through Savings Plans, On-Demand, and Spot instances. To learn more, see M6in and M6idn instances page.  

Today, AWS Identity and Access Management (IAM) announced support for encrypted SAML assertions. SAML is an open standard that many identity providers (IdPs) use for federated single sign-on (SSO), enabling users or applications in your company to log into the AWS Management Console or call AWS API operations. You can now configure your identity provider to encrypt the SAML assertions that it sends to IAM. This ensures that your assertions are encrypted when passed through intermediaries (for example, the end user’s web browser).

You can use the AWS IAM console, APIs, or CLI to configure SAML encryption for your identity providers that support encryption. Please refer to IAM and your identity provider’s product documentation for detailed configuration steps.

This feature is available in all AWS commercial and AWS GovCloud (US) Regions. To learn more, please refer to IAM documentation.
 

​Today, AWS Identity and Access Management (IAM) announced support for encrypted SAML assertions. SAML is an open standard that many identity providers (IdPs) use for federated single sign-on (SSO), enabling users or applications in your company to log into the AWS Management Console or call AWS API operations. You can now configure your identity provider to encrypt the SAML assertions that it sends to IAM. This ensures that your assertions are encrypted when passed through intermediaries (for example, the end user’s web browser). You can use the AWS IAM console, APIs, or CLI to configure SAML encryption for your identity providers that support encryption. Please refer to IAM and your identity provider’s product documentation for detailed configuration steps. This feature is available in all AWS commercial and AWS GovCloud (US) Regions. To learn more, please refer to IAM documentation.    

Amazon Redshift announces the general availability of Query Editor V2 with Amazon Redshift in the Asia Pacific (Malaysia) region. Amazon Redshift Query Editor V2 makes data in your Amazon Redshift data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers. With Amazon Redshift Query Editor V2, users can explore, analyze, and collaborate on data. It reduces the operational costs of managing query tools by providing a web-based application that allows you to focus on exploring your data without managing your infrastructure.

The Amazon Redshift Query Editor V2 is a separate web-based SQL client application that you use to author and run queries on your Amazon Redshift data warehouse. You can use it to edit and run queries, visualize results, and share your work with your team. With Amazon Redshift Query Editor V2, you can create databases, schemas, tables, and user-defined functions (UDFs). In a tree-view panel, for each of your databases, you can view its schemas. For each schema, you can view its tables, views, UDFs, and stored procedures. The Amazon Redshift Query Editor V2 comes with sample data and notebooks available for you to be loaded into a sample database and corresponding schema. You can use it to load data into a database in an Amazon Redshift cluster or workgroup.

To learn more, see the documentation or the demo.
 

​Amazon Redshift announces the general availability of Query Editor V2 with Amazon Redshift in the Asia Pacific (Malaysia) region. Amazon Redshift Query Editor V2 makes data in your Amazon Redshift data warehouse and data lake more accessible with a web-based tool for SQL users such as data analysts, data scientists, and database developers. With Amazon Redshift Query Editor V2, users can explore, analyze, and collaborate on data. It reduces the operational costs of managing query tools by providing a web-based application that allows you to focus on exploring your data without managing your infrastructure. The Amazon Redshift Query Editor V2 is a separate web-based SQL client application that you use to author and run queries on your Amazon Redshift data warehouse. You can use it to edit and run queries, visualize results, and share your work with your team. With Amazon Redshift Query Editor V2, you can create databases, schemas, tables, and user-defined functions (UDFs). In a tree-view panel, for each of your databases, you can view its schemas. For each schema, you can view its tables, views, UDFs, and stored procedures. The Amazon Redshift Query Editor V2 comes with sample data and notebooks available for you to be loaded into a sample database and corresponding schema. You can use it to load data into a database in an Amazon Redshift cluster or workgroup. To learn more, see the documentation or the demo.    

Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, introduced an intelligent orchestration feature that simplifies conversational experience by understanding user queries, and automatically directing the queries to the right data sources and plugins to generate relevant responses.

Earlier, users would need to manually switch between different work applications to complete their tasks and gain insights from data sources. Enabling orchestration simplifies the user conversational experience by automatically directing user queries to indexed enterprise data sources and plugins, eliminating the need for manual selection. Orchestration works with retrieval augmented generative (RAG) data for enterprise-specific knowledge, and with both built-in and custom plugins, allowing users to interact with popular business tools like Jira, Salesforce, ServiceNow, Smartsheet, and PagerDuty – all through a single conversation in Amazon Q Business.

The new orchestration feature is available in all AWS Regions where Amazon Q Business is available. To get started with the feature, customers can access the setting directly from the Amazon Q Business console. To learn more, please visit Using global controls in Amazon Q Business. To learn more about Amazon Q Business plugins and how they can enhance your organization’s productivity, visit the Amazon Q Business webpage and explore the Amazon Q Business plugin documentation.

​Amazon Q Business, the generative AI-powered assistant for finding information, gaining insight, and taking action at work, introduced an intelligent orchestration feature that simplifies conversational experience by understanding user queries, and automatically directing the queries to the right data sources and plugins to generate relevant responses. Earlier, users would need to manually switch between different work applications to complete their tasks and gain insights from data sources. Enabling orchestration simplifies the user conversational experience by automatically directing user queries to indexed enterprise data sources and plugins, eliminating the need for manual selection. Orchestration works with retrieval augmented generative (RAG) data for enterprise-specific knowledge, and with both built-in and custom plugins, allowing users to interact with popular business tools like Jira, Salesforce, ServiceNow, Smartsheet, and PagerDuty – all through a single conversation in Amazon Q Business. The new orchestration feature is available in all AWS Regions where Amazon Q Business is available. To get started with the feature, customers can access the setting directly from the Amazon Q Business console. To learn more, please visit Using global controls in Amazon Q Business. To learn more about Amazon Q Business plugins and how they can enhance your organization’s productivity, visit the Amazon Q Business webpage and explore the Amazon Q Business plugin documentation.  

AWS Wickr is excited to announce the launch of «Wickr Files,» a dedicated space that allows you to access and manage files in conversations. Moderators of Wickr rooms and users in self-moderated group conversations, can now upload and organize files in folders. Users can toggle between “Messages” and “Files” tabs to access relevant content and streamline collaboration.

AWS Wickr is a security-first messaging and collaboration service with features designed to help keep your internal and external communications secure, private, and compliant. AWS Wickr protects one-to-one and group messaging, voice and video calling, file sharing, screen sharing, and location sharing with end-to-end encryption. Customers have full administrative control over data, which includes addressing information governance polices, configuring ephemeral messaging options, and deleting credentials for lost or stolen devices. You can log both internal and external conversations in an AWS Wickr network to a private data store that you manage, for data retention and auditing purposes.

AWS Wickr is available in commercial AWS Regions that include US East (N. Virginia), AWS Canada (Central), AWS Asia Pacific (Malaysia, Singapore, Sydney, and Tokyo), and AWS Europe (London, Frankfurt, Stockholm, and Zurich). It is also available in AWS GovCloud (US-West) as Department of Defense Impact Level 5 (DoD IL5)-authorized AWS WickrGov.

To learn more and get started, see the following resources:

• AWS Wickr product detail page
• AWS Wickr user guide
• AWS Wickr administration guide

​AWS Wickr is excited to announce the launch of «Wickr Files,» a dedicated space that allows you to access and manage files in conversations. Moderators of Wickr rooms and users in self-moderated group conversations, can now upload and organize files in folders. Users can toggle between “Messages” and “Files” tabs to access relevant content and streamline collaboration. AWS Wickr is a security-first messaging and collaboration service with features designed to help keep your internal and external communications secure, private, and compliant. AWS Wickr protects one-to-one and group messaging, voice and video calling, file sharing, screen sharing, and location sharing with end-to-end encryption. Customers have full administrative control over data, which includes addressing information governance polices, configuring ephemeral messaging options, and deleting credentials for lost or stolen devices. You can log both internal and external conversations in an AWS Wickr network to a private data store that you manage, for data retention and auditing purposes. AWS Wickr is available in commercial AWS Regions that include US East (N. Virginia), AWS Canada (Central), AWS Asia Pacific (Malaysia, Singapore, Sydney, and Tokyo), and AWS Europe (London, Frankfurt, Stockholm, and Zurich). It is also available in AWS GovCloud (US-West) as Department of Defense Impact Level 5 (DoD IL5)-authorized AWS WickrGov. To learn more and get started, see the following resources:

AWS Wickr product detail page
AWS Wickr user guide
AWS Wickr administration guide  

AWS Database Migration Service Serverless (AWS DMSS) now supports files on S3 source endpoints. Using AWS DMSS, you can now migrate data in CSV or parquet format from S3 to any supported AWS DMSS target endpoint. AWS DMSS supports both full load and Change Data Capture (CDC) migration modes for CSV and Parquet files with S3 source endpoints using AWS DMS console, AWS CLI, or AWS SDKs in all regions where DMSS is available.

For information about AWS DMS S3 source endpoints see DMS S3. Visit AWS DMS to get started.

For AWS DMS regional availability, please refer to the AWS Region Table.

​AWS Database Migration Service Serverless (AWS DMSS) now supports files on S3 source endpoints. Using AWS DMSS, you can now migrate data in CSV or parquet format from S3 to any supported AWS DMSS target endpoint. AWS DMSS supports both full load and Change Data Capture (CDC) migration modes for CSV and Parquet files with S3 source endpoints using AWS DMS console, AWS CLI, or AWS SDKs in all regions where DMSS is available. For information about AWS DMS S3 source endpoints see DMS S3. Visit AWS DMS to get started. For AWS DMS regional availability, please refer to the AWS Region Table.  

Contact Lens now enables businesses to send automatic email notifications to agents when their contacts are evaluated, so they can review the evaluations and improve their performance. Managers can create rules to send emails based on specific evaluation criteria. For example, you can set up automatic notifications for agents who receive evaluation scores below 50%, ensuring prompt attention to performance opportunities. Managers can also personalize email content based on performance levels — whether recognizing top performers or providing constructive guidance for improvement areas.

This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

​Contact Lens now enables businesses to send automatic email notifications to agents when their contacts are evaluated, so they can review the evaluations and improve their performance. Managers can create rules to send emails based on specific evaluation criteria. For example, you can set up automatic notifications for agents who receive evaluation scores below 50%, ensuring prompt attention to performance opportunities. Managers can also personalize email content based on performance levels — whether recognizing top performers or providing constructive guidance for improvement areas. This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.