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Amazon Connect now supports granular access controls for cases

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Amazon Connect now enables you to apply tag-based access control to cases, giving administrators more control over who can view and manage case data. With this capability, you can associate tags with case templates and configure security profiles to control which users can access cases that include specific tags. For example, you can tag fraud-related cases and restrict access so that only users assigned to a fraud security profile can view or edit those cases, helping you enforce internal controls and data access policies.

Amazon Connect Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town) AWS regions. To learn more and get started, visit the Amazon Connect Cases webpage and documentation .

Amazon RDS for PostgreSQL, MySQL and MariaDB now support r6id and r6gd database instances in additional AWS Regions

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AWS memory optimized R6id database instances are now generally available for Amazon RDS for PostgreSQL, MySQL, and MariaDB in the Tel Aviv region. R6gd instances are now supported for Amazon RDS for PostgreSQL, MySQL, and MariaDB in Asia Pacific (Osaka), and EU (Spain, Zurich) regions.

 AWS Graviton2-based instances provide up to 40% performance improvement over R5-based instances of equivalent sizes on Amazon Aurora and Amazon RDS databases, depending on database engine, version, and workload. R6gd instances also deliver local NVMe-based block level storage for low latency local storage. Memory-optimized R6id instances offer 58% higher TB storage per vCPU and 15% better price performance when compared with R5d instances.

You can easily launch R6gd or R6id database instances through the Amazon RDS Management Console or by using the AWS Command Line Interface (CLI). For detailed information about specific engine versions that support these database instance types, please refer to the Aurora  and RDS documentation. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page .

AWS Deadline Cloud now supports editing job name and description

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AWS Deadline Cloud now supports editing job names and descriptions after submission. This new feature makes it easier to organize and identify jobs after submission by updating names or adding useful tracking details in the description field.

Job names and descriptions are critical metadata for organizing and understanding between users and projects, often tracking things like shot and sequence number across systems. Previously they could only be set at job creation during submission, being able to edit them after submission allows you to fix issues in naming as well as add key tracking information to the job description for other users.

You can edit job names and descriptions using the AWS SDK, Deadline client, and Deadline Monitor. To learn more see the AWS Deadline Cloud documentation .

Trust In AI Search Results

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Only around one third of Americans have a high level of trust in AI search  results, says a Statista Consumer Insights survey. Depending on the topic, there was a slight …

Ten Best Startups In 2025

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Thanks to Linked-In for this one – the ten most innovative startups in 2025: Ayar Labs Axelera AI Celestial AI Cornelis Networks EnCharge AI Lightmatter Speedata.io Tenstorrent Xsight Labs LTD …

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