Today, AWS announces the general availability of Neuron SDK 2.25.0, delivering improvements for inference workloads and performance monitoring on AWS Inferentia and Trainium instances. This latest release adds context and data parallelism support as well as chunked attention for long sequence processing in inference, and updates the neuron-ls and neuron-monitor APIs with more information on node affinities and device utilization, respectively.

This release also introduces automatic aliasing (Beta) for fast tensor operations, and adds improvements for disaggregated serving (Beta). Finally, it provides upgraded AMIs and Deep Learning Containers for inference and training workloads on Neuron.

Neuron 2.25.0 is available in all AWS Regions where Inferentia and Trainium instances are offered.

To learn more and for a full list of new features and enhancements, see:

• AWS Neuron 2.25.0 release notes
• Trn2 Instances
• Trn1 Instances
• Inf2 Instances

​Today, AWS announces the general availability of Neuron SDK 2.25.0, delivering improvements for inference workloads and performance monitoring on AWS Inferentia and Trainium instances. This latest release adds context and data parallelism support as well as chunked attention for long sequence processing in inference, and updates the neuron-ls and neuron-monitor APIs with more information on node affinities and device utilization, respectively. This release also introduces automatic aliasing (Beta) for fast tensor operations, and adds improvements for disaggregated serving (Beta). Finally, it provides upgraded AMIs and Deep Learning Containers for inference and training workloads on Neuron.
Neuron 2.25.0 is available in all AWS Regions where Inferentia and Trainium instances are offered. To learn more and for a full list of new features and enhancements, see:

AWS Neuron 2.25.0 release notes
Trn2 Instances
Trn1 Instances
Inf2 Instances  

AWS IoT Core now supports customer-managed keys (CMK) through AWS Key Management Service (KMS), enabling you to encrypt data stored in IoT Core with your own encryption keys. This enhancement gives you greater control over your encryption key lifecycle, including creation, rotation, monitoring, and deletion. Moreover, when you opt for CMK, the service handles the transition by automatically re-encrypting existing data while helping to maintain uninterrupted IoT operations. Operating within the AWS shared responsibility model, this security enhancement helps organizations meet their security requirements without impacting their IoT applications.

This feature is now available in all AWS Regions where AWS IoT Core is supported. For details, visit the AWS IoT Core documentation.

​AWS IoT Core now supports customer-managed keys (CMK) through AWS Key Management Service (KMS), enabling you to encrypt data stored in IoT Core with your own encryption keys. This enhancement gives you greater control over your encryption key lifecycle, including creation, rotation, monitoring, and deletion. Moreover, when you opt for CMK, the service handles the transition by automatically re-encrypting existing data while helping to maintain uninterrupted IoT operations. Operating within the AWS shared responsibility model, this security enhancement helps organizations meet their security requirements without impacting their IoT applications.
This feature is now available in all AWS Regions where AWS IoT Core is supported. For details, visit the AWS IoT Core documentation.  

Amazon Verified Permissions now supports Cedar 4.5. This enables customers to use the latest Cedar features, including the “is” operator, which allows customers to grant access based on resource types. For example, in a petstore application, you can use the “is” operator to write a policy that only grants administrators permission to view a resource if that resource «is» an invoice. This addition enhances Cedar’s type system and helps catch potential type-related errors early in policy development. You can learn about other enhancements to Cedar on the Cedar releases page.

Amazon Verified Permissions is a permissions management and fine-grained authorization service for the applications that you build. Amazon Verified Permissions uses the Cedar policy language to enable developers and admins to define policy-based access controls using roles and attributes.

Amazon Verified Permissions supports Cedar 4.5 in all AWS Regions where the service is available. All new accounts and backward-compatible accounts have been automatically upgraded to Cedar-4, and no additional actions are required. For more information about Amazon Verified Permissions, visit the Verified Permissions product page.

​Amazon Verified Permissions now supports Cedar 4.5. This enables customers to use the latest Cedar features, including the “is” operator, which allows customers to grant access based on resource types. For example, in a petstore application, you can use the “is” operator to write a policy that only grants administrators permission to view a resource if that resource «is» an invoice. This addition enhances Cedar’s type system and helps catch potential type-related errors early in policy development. You can learn about other enhancements to Cedar on the Cedar releases page. Amazon Verified Permissions is a permissions management and fine-grained authorization service for the applications that you build. Amazon Verified Permissions uses the Cedar policy language to enable developers and admins to define policy-based access controls using roles and attributes. Amazon Verified Permissions supports Cedar 4.5 in all AWS Regions where the service is available. All new accounts and backward-compatible accounts have been automatically upgraded to Cedar-4, and no additional actions are required. For more information about Amazon Verified Permissions, visit the Verified Permissions product page.  

Today, Amazon Web Services announced improved Amazon CloudWatch alarm integration for Amazon VPC IP Address Manager (IPAM). This enhancement provides better visibility and management of existing CloudWatch alarms directly from the IPAM console. With this new integration, you can quickly identify potential IP address management issues and take proactive actions across your organization.

The enhanced integration brings IPAM-related CloudWatch alarms directly into the IPAM console, providing a unified view of alarm states across all IPAM pages. This visibility enables quick response to potential IP address management issues. You can now create CloudWatch alarms directly from the IPAM console – clicking the ‘Create Alarm’ option redirects you to CloudWatch with relevant fields pre-populated, streamlining IP usage alert setup. A new resource-level «Alarms» tab offers comprehensive visibility into all alarms associated with specific IPAM resources, making it easier to manage and monitor your IP address space effectively.

This improved integration is particularly valuable for networking teams managing IP address spaces, as it helps prevent issues through better visibility and easier management of existing alarms. The console also provides proactive monitoring suggestions for resources without associated alarms, helping ensure comprehensive monitoring coverage across your IP address management infrastructure.

This feature is now available in all AWS Regions where Amazon VPC IPAM is supported, including AWS China Regions, and AWS GovCloud (US) Regions.

To learn more about monitoring IPAM with CloudWatch, view the CloudWatch IPAM documentation. For details on pricing, refer to the IPAM tab on the Amazon VPC Pricing Page.

​Today, Amazon Web Services announced improved Amazon CloudWatch alarm integration for Amazon VPC IP Address Manager (IPAM). This enhancement provides better visibility and management of existing CloudWatch alarms directly from the IPAM console. With this new integration, you can quickly identify potential IP address management issues and take proactive actions across your organization. The enhanced integration brings IPAM-related CloudWatch alarms directly into the IPAM console, providing a unified view of alarm states across all IPAM pages. This visibility enables quick response to potential IP address management issues. You can now create CloudWatch alarms directly from the IPAM console – clicking the ‘Create Alarm’ option redirects you to CloudWatch with relevant fields pre-populated, streamlining IP usage alert setup. A new resource-level «Alarms» tab offers comprehensive visibility into all alarms associated with specific IPAM resources, making it easier to manage and monitor your IP address space effectively. This improved integration is particularly valuable for networking teams managing IP address spaces, as it helps prevent issues through better visibility and easier management of existing alarms. The console also provides proactive monitoring suggestions for resources without associated alarms, helping ensure comprehensive monitoring coverage across your IP address management infrastructure. This feature is now available in all AWS Regions where Amazon VPC IPAM is supported, including AWS China Regions, and AWS GovCloud (US) Regions. To learn more about monitoring IPAM with CloudWatch, view the CloudWatch IPAM documentation. For details on pricing, refer to the IPAM tab on the Amazon VPC Pricing Page.  

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Amazon Cognito now allows you to configure terms of use and privacy policy documents for Managed Login pages. This helps customers seamlessly present legal terms during user registration while simplifying implementation. With Managed Login, Cognito customers could previously use its no-code editor to customize the user journey from signup and login to password recovery and multi-factor authentication. Now, customers can additionally use Managed Login to easily set up terms of use and privacy policy documents, saving development teams from building custom solutions.

With this capability, you can configure terms of use and privacy policy URLs for each app client in your Cognito user pool. When users register, they see text indicating that by signing up, they agree to your terms of use and privacy policy, and a link to your webpage with the agreement. You can configure different URLs for each supported language to match your Managed Login localization settings. For example, if you have configured the privacy policy and terms of use documents for French (fr) and the same is selected in the lang query-parameter on the sign-up page URL, users will see the French URL you configured.

This capability is available to Amazon Cognito customers using the Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to the developer guide and Pricing Detail Page for Cognito Essentials and Plus tier.

​Amazon Cognito now allows you to configure terms of use and privacy policy documents for Managed Login pages. This helps customers seamlessly present legal terms during user registration while simplifying implementation. With Managed Login, Cognito customers could previously use its no-code editor to customize the user journey from signup and login to password recovery and multi-factor authentication. Now, customers can additionally use Managed Login to easily set up terms of use and privacy policy documents, saving development teams from building custom solutions. With this capability, you can configure terms of use and privacy policy URLs for each app client in your Cognito user pool. When users register, they see text indicating that by signing up, they agree to your terms of use and privacy policy, and a link to your webpage with the agreement. You can configure different URLs for each supported language to match your Managed Login localization settings. For example, if you have configured the privacy policy and terms of use documents for French (fr) and the same is selected in the lang query-parameter on the sign-up page URL, users will see the French URL you configured. This capability is available to Amazon Cognito customers using the Essentials or Plus tiers in AWS Regions where Cognito is available, including the AWS GovCloud (US) Regions. To learn more, refer to the developer guide and Pricing Detail Page for Cognito Essentials and Plus tier.  

Amazon CloudWatch Logs Insights expands natural language query result summarization to 15 additional AWS Regions: Asia Pacific (Hong Kong, Malaysia, Mumbai, Thailand, Tokyo, Singapore, Sydney), Europe (Frankfurt, Ireland, London, Spain, Stockholm), South America (Sao Paulo). US East (Ohio), and US West (Oregon).

CloudWatch Logs Insights lets you interactively search and analyze your logs with Logs Insights query language, OpenSearch Service Piped Processing Language (PPL), and OpenSearch Service Structured Query Language (SQL). The query result summarization capability generates a natural language summary of the query results, providing users with clear, actionable insights. Interpreting log entries can be time-consuming and this feature transforms complex query results into concise summaries that help you quickly identify issues and gain actionable insights from your log data.

In addition, natural language query generation capability in CloudWatch Logs is now available for CloudWatch Logs Insights and Metrics Insights in 6 additional AWS Regions: Asia Pacific (Malaysia, Mumbai, Thailand), Europe (London, Spain), and South America (Sao Paulo). Query generation for PPL and SQL languages is available in 3 additional AWS Regions: Asia Pacific (Mumbai), Europe (London), and South America (Sao Paulo). Natural language query generation powered by generative AI allows users to use plain English to quickly generate queries in the context of their logs without needing extensive knowledge of the query language, reducing time to gather insights.

To learn about the log summarizer in CloudWatch Logs Insights, visit the Amazon CloudWatch Logs documentation. To learn about natural language query generation, go to CloudWatch Logs documentation. 

​Amazon CloudWatch Logs Insights expands natural language query result summarization to 15 additional AWS Regions: Asia Pacific (Hong Kong, Malaysia, Mumbai, Thailand, Tokyo, Singapore, Sydney), Europe (Frankfurt, Ireland, London, Spain, Stockholm), South America (Sao Paulo). US East (Ohio), and US West (Oregon). CloudWatch Logs Insights lets you interactively search and analyze your logs with Logs Insights query language, OpenSearch Service Piped Processing Language (PPL), and OpenSearch Service Structured Query Language (SQL). The query result summarization capability generates a natural language summary of the query results, providing users with clear, actionable insights. Interpreting log entries can be time-consuming and this feature transforms complex query results into concise summaries that help you quickly identify issues and gain actionable insights from your log data. In addition, natural language query generation capability in CloudWatch Logs is now available for CloudWatch Logs Insights and Metrics Insights in 6 additional AWS Regions: Asia Pacific (Malaysia, Mumbai, Thailand), Europe (London, Spain), and South America (Sao Paulo). Query generation for PPL and SQL languages is available in 3 additional AWS Regions: Asia Pacific (Mumbai), Europe (London), and South America (Sao Paulo). Natural language query generation powered by generative AI allows users to use plain English to quickly generate queries in the context of their logs without needing extensive knowledge of the query language, reducing time to gather insights.
To learn about the log summarizer in CloudWatch Logs Insights, visit the Amazon CloudWatch Logs documentation. To learn about natural language query generation, go to CloudWatch Logs documentation.   

AWS Security Incident Response is now Health Information Trust Alliance Common Security Framework (HITRUST CSF) certified, demonstrating its alignment with stringent security and privacy requirements established by HITRUST for managing sensitive data. This certification validates that AWS Security Incident Response meets comprehensive security controls required by healthcare, life sciences and many other regulated sectors.

HITRUST CSF is a comprehensive security and privacy framework developed by the HITRUST Alliance to help organizations in the healthcare industry and other regulated sectors effectively manage information risk and comply with a variety of security, privacy and regulatory requirements. It provides a scalable, transparent, and certifiable approach based on well-known industry standards and regulations, allowing organizations to demonstrate their commitment to protecting sensitive data and meeting compliance obligations. AWS customers can achieve HITRUST certification using AWS products and inherit AWS HITRUST scores, reducing the audit burden for both parties. Visit the AWS Services in Scope by Compliance Program to see a full list of services also covered by HITRUST.

AWS Security Incident Response automates security alert monitoring, streamlines incident response coordination, and provides direct access to 24/7 security experts, enabling organizations to efficiently detect, investigate, and mitigate security incidents. To learn more, see the AWS Security Incident Response documentation. Get started today by visiting AWS Security Incident Response via the console, AWS Command Line Interface, or APIs.

​AWS Security Incident Response is now Health Information Trust Alliance Common Security Framework (HITRUST CSF) certified, demonstrating its alignment with stringent security and privacy requirements established by HITRUST for managing sensitive data. This certification validates that AWS Security Incident Response meets comprehensive security controls required by healthcare, life sciences and many other regulated sectors. HITRUST CSF is a comprehensive security and privacy framework developed by the HITRUST Alliance to help organizations in the healthcare industry and other regulated sectors effectively manage information risk and comply with a variety of security, privacy and regulatory requirements. It provides a scalable, transparent, and certifiable approach based on well-known industry standards and regulations, allowing organizations to demonstrate their commitment to protecting sensitive data and meeting compliance obligations. AWS customers can achieve HITRUST certification using AWS products and inherit AWS HITRUST scores, reducing the audit burden for both parties. Visit the AWS Services in Scope by Compliance Program to see a full list of services also covered by HITRUST. AWS Security Incident Response automates security alert monitoring, streamlines incident response coordination, and provides direct access to 24/7 security experts, enabling organizations to efficiently detect, investigate, and mitigate security incidents. To learn more, see the AWS Security Incident Response documentation. Get started today by visiting AWS Security Incident Response via the console, AWS Command Line Interface, or APIs.  

AWS Security Incident Response now offers seamless integration with popular IT Service Management (ITSM) tools like Jira and ServiceNow, enabling you to respond faster to security incidents while maintaining your existing processes and operating models. These integrations provide bidirectional synchronization, allowing you to create, update, and delete issues in either platform with automatic data replication into AWS Security Incident Response cases. Comments and attachments are also fully synchronized between platforms.

The integrations are available as open-source projects on GitHub, providing customers and partners the opportunity to contribute to and extend the functionality. The repository includes sample code, deployment instructions, and best practices for building custom integrations with AWS Security Incident Response. The solution features a modular architecture that makes it straightforward to add new integration targets beyond the initial Jira and ServiceNow offerings. The GitHub repository includes guidance on how to leverage tools like Amazon Q Developer, Kiro, or similar AI assistants for rapid customization and use with your favorite ITSM platform.

To get started with AWS Security Incident Response ITSM Integrations, visit our GitHub repository. Visit our technical documentation for Jira and ServiceNow for implementation details. Learn more about AWS Security Incident Response in the service’s User Guide.

​AWS Security Incident Response now offers seamless integration with popular IT Service Management (ITSM) tools like Jira and ServiceNow, enabling you to respond faster to security incidents while maintaining your existing processes and operating models. These integrations provide bidirectional synchronization, allowing you to create, update, and delete issues in either platform with automatic data replication into AWS Security Incident Response cases. Comments and attachments are also fully synchronized between platforms. The integrations are available as open-source projects on GitHub, providing customers and partners the opportunity to contribute to and extend the functionality. The repository includes sample code, deployment instructions, and best practices for building custom integrations with AWS Security Incident Response. The solution features a modular architecture that makes it straightforward to add new integration targets beyond the initial Jira and ServiceNow offerings. The GitHub repository includes guidance on how to leverage tools like Amazon Q Developer, Kiro, or similar AI assistants for rapid customization and use with your favorite ITSM platform. To get started with AWS Security Incident Response ITSM Integrations, visit our GitHub repository. Visit our technical documentation for Jira and ServiceNow for implementation details. Learn more about AWS Security Incident Response in the service’s User Guide.  

AWS Clean Rooms now supports error message configurations for PySpark, enabling companies and their partners to develop and test sophisticated analytics faster in a Clean Rooms collaboration. With this launch, you and your partners can specify how much information appears in error messages for analyses that use PySpark, the Python API for Apache Spark. Code authors can configure a PySpark analysis to return detailed error messages when a PySpark analysis fails, provided that each collaboration member approves the analysis to run on their data. For example, when a code author is testing their code for a marketing attribution model in a clean rooms collaboration, they can enable detailed error messages for faster troubleshooting, reducing time-to-insights from weeks to hours or days.

AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.

​AWS Clean Rooms now supports error message configurations for PySpark, enabling companies and their partners to develop and test sophisticated analytics faster in a Clean Rooms collaboration. With this launch, you and your partners can specify how much information appears in error messages for analyses that use PySpark, the Python API for Apache Spark. Code authors can configure a PySpark analysis to return detailed error messages when a PySpark analysis fails, provided that each collaboration member approves the analysis to run on their data. For example, when a code author is testing their code for a marketing attribution model in a clean rooms collaboration, they can enable detailed error messages for faster troubleshooting, reducing time-to-insights from weeks to hours or days.
AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms.