Starting today, you can configure your DNS Firewall to automatically trust all domains in a resolution chain (such as aCNAME, DNAME, or Alias chain). Let’s walk through this in nontechnical terms for those unfamiliar with DNS. Why use DNS Firewall? DNS Firewall provides protection for outbound DNS requests from your private network in the cloud (Amazon Virtual Private Cloud (Amazon VPC)). These requests route through Amazon Route 53 Resolver for domain name resolution. Firewall administrators can configure rules to filter and regulate the outbound DNS traffic. DNS Firewall helps to protect against multiple security risks. Let’s imagine a malicious actor managed to install and run some code on your Amazon Elastic Compute Cloud (Amazon EC2) instances or containers running inside…
Category: AWS
Reposts from Amazon Web Services (AWS).
Add your Ruby gems to AWS CodeArtifact
Ruby developers can now use AWS CodeArtifact to securely store and retrieve their gems. CodeArtifact integrates with standard developer tools like gem and bundler. Applications often use numerous packages to speed up development by providing reusable code for common tasks like network access, cryptography, or data manipulation. Developers also embed SDKs–such as the AWS SDKs–to access remote services. These packages may come from within your organization or from third parties like open source projects. Managing packages and dependencies is integral to software development. Languages like Java, C#, JavaScript, Swift, and Python have tools for downloading and resolving dependencies, and Ruby developers typically use gem and bundler. However, using third-party packages presents legal and security challenges. Organizations must ensure package licenses…
Amazon Titan Text V2 now available in Amazon Bedrock, optimized for improving RAG
The Amazon Titan family of models, available exclusively in Amazon Bedrock, is built on top of 25 years of Amazon expertise in artificial intelligence (AI) and machine learning (ML) advancements. Amazon Titan foundation models (FMs) offer a comprehensive suite of pre-trained image, multimodal, and text models accessible through a fully managed API. Trained on extensive datasets, Amazon Titan models are powerful and versatile, designed for a range of applications while adhering to responsible AI practices. The latest addition to the Amazon Titan family is Amazon Titan Text Embeddings V2, the second-generation text embeddings model from Amazon now available within Amazon Bedrock. This new text embeddings model is optimized for Retrieval-Augmented Generation (RAG). It is pre-trained on 100+ languages and on…
Amazon Q Business, now generally available, helps boost workforce productivity with generative AI
At AWS re:Invent 2023, we previewed Amazon Q Business, a generative artificial intelligence (generative AI)–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. With Amazon Q Business, you can deploy a secure, private, generative AI assistant that empowers your organization’s users to be more creative, data-driven, efficient, prepared, and productive. During the preview, we heard lots of customer feedback and used that feedback to prioritize our enhancements to the service. Today, we are announcing the general availability of Amazon Q Business with many new features, including custom plugins, and a preview of Amazon Q Apps, generative AI–powered customized and sharable applications using natural language in a…