AWS News Blog

AWS Weekly Roundup: HAQM Bedrock, HAQM QuickSight, AWS Amplify, and more (March 31, 2025)

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Speaking of AWS news, let’s look at last week’s new announcements.

Last week’s launches
Here are the launches that got my attention.

AWS WAF integration with AWS Amplify Hosting now generally available – You can now directly attach AWS WAF to your AWS Amplify applications through a one-click integration in the Amplify console or using infrastructure as code (IaC). This integration provides access to the full range of AWS WAF capabilities, including managed rules that protect against common web exploits like SQL injection and cross-site scripting (XSS). You can also create custom rules based on your application needs, implement rate-based rules to protect against distributed denial of service (DDoS) attacks by limiting request rates from IP addresses, and configure geo-blocking to restrict access from specific countries. Firewall support is available in all AWS Regions in which Amplify Hosting operates.

HAQM Bedrock Custom Model Import introduces real-time cost transparency – If you’re using HAQM Bedrock Custom Model Import to run your customized foundation models (FMs), you can now access full transparency into compute resources and calculate inference costs in real time. Before model invocation, you can view the minimum compute resources (custom model units or CMUs) required through both the HAQM Bedrock console and HAQM Bedrock APIs. As models scale to handle increased traffic, HAQM CloudWatch metrics provide real-time visibility into total CMUs used, enabling better cost control through near-instant visibility. This helps you make on-the-fly model configuration changes to optimize costs. The feature is available in all Regions where HAQM Bedrock Custom Model Import is supported, with additional details available in Calculate the cost of running a custom model in the HAQM Bedrock User Guide.

HAQM Bedrock Knowledge Bases now supports HAQM OpenSearch Managed Cluster for vector storageHAQM Bedrock Knowledge Bases securely connects FMs to company data sources for Retrieval Augmented Generation (RAG), delivering more relevant and accurate responses. With this launch, you can use HAQM OpenSearch Managed Cluster as a vector database while using the full suite of HAQM Bedrock Knowledge Bases features. This integration expands the list of supported vector databases, which already includes HAQM OpenSearch Serverless, HAQM Aurora, HAQM Neptune Analytics, Pinecone, MongoDB Atlas, and Redis. The native integration with vector databases helps mitigate the need to build custom data source integrations. This feature is now generally available in all existing HAQM Bedrock Knowledge Bases and OpenSearch Service Regions.

HAQM Bedrock Guardrails announces the general availability of industry-leading image content filters – This new capability offers industry-leading text and image content safeguards that help you block up to 88% of harmful multimodal content without building custom safeguards or relying on error-prone manual content moderation. Image content filters can be applied across all categories within the content filter policy including hate, insults, sexual, violence, misconduct, and prompt attacks. HAQM Bedrock Guardrails provides configurable safeguards to detect and block harmful content and prompt attacks, define topics to deny and disallow specific topics, redact personally identifiable information (PII) such as personal data, and block specific words. It also provides contextual grounding checks to detect and block model hallucinations and to identify the relevance of model responses and claims, and to identify, correct, and explain factual claims in model responses using Automated Reasoning checks. This capability is generally available in the US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Tokyo) Regions. To learn more, visit HAQM Bedrock Guardrails image content filters provide industry-leading safeguards in the AWS Machine Learning Blog and Stop harmful content in models using HAQM Bedrock Guardrails in the HAQM Bedrock User Guide.

Scenarios capability now generally available for HAQM Q in QuickSight – This capability guides you through data analysis by uncovering hidden trends, making recommendations for your business, and intelligently suggesting next steps for deeper exploration using natural language interactions. Now you can explore past trends, forecast future scenarios, and model solutions without needing specialized skill, analyst support, or manual manipulation of data in spreadsheets. With its intuitive interface and step-by-step guidance, the scenarios capability of HAQM Q in QuickSight helps you perform complex data analysis up to 10x faster than spreadsheets. Whether you’re optimizing marketing budgets, streamlining supply chains, or analyzing investments, HAQM Q makes advanced data analysis accessible so you can make data-driven decisions across your organization. This capability is accessible from any HAQM QuickSight dashboard, so you can move seamlessly from visualizing data to asking what-if questions and comparing alternatives. Previous analyses can be easily modified, extended, and reused, helping you quickly adapt to changing business needs.

For a full list of AWS announcements, be sure to keep an eye on the What's New at AWS page.

We launched existing services and instance types in additional Regions:

Other AWS events
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That’s all for this week. Check back next Monday for another Weekly Roundup!

— Esra

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!


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Esra Kayabali

Esra Kayabali

Esra Kayabali is a Senior Solutions Architect at AWS, specialising in analytics, including data warehousing, data lakes, big data analytics, batch and real-time data streaming, and data integration. She has more than ten years of software development and solution architecture experience. She is passionate about collaborative learning, knowledge sharing, and guiding community in their cloud technologies journey.