AWS Releases
Amazon Web Services releases and Terraform AWS provider. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 680 AWS releases · Updated
- AWS What's New aiawsdatabrickssnowflakeengineer ·
Amazon Quick Adds Autonomous Agents and Multi-Dataset Analytics
Amazon Quick has launched new features including autonomous agents, multi-dataset analytics, and a redesigned activity feed. These updates allow Quick to automate recurring tasks and provide unified analytics across multiple data sources, simplifying complex workflows for business users. The changes are particularly beneficial for those managing deals, summarizing regulatory information, or processing orders, and enable natural language querying across diverse data stores like Snowflake and relational databases. Autonomous agents can be configured for varying levels of autonomy, from approvals to goal-based execution, while the activity feed offers a conversational interface for managing updates and requests.
feature - AWS What's New aisecurityawspreviewengineer ·
AWS Security Agent adds AI-powered threat modeling
AWS Security Agent now offers AI-powered threat modeling to automatically generate threat models for applications. This feature analyzes design documents or source code, identifies threats using the STRIDE framework, and suggests mitigations, reducing manual effort and specialized expertise requirements. Available in public preview for all AWS Security Agent regions, it integrates with IDEs and can be used by developers and security teams.
feature announcement - AWS What's New aisecurityawsengineer ·
AWS Security Agent adds Kiro, Claude Code, and simulated validation
AWS Security Agent, now part of AWS Continuum, has added support for Kiro and Claude Code, allowing developers to run security scans from their IDE. The agent now simulates exploits in a sandbox to validate findings, reducing false positives and prioritizing remediation. New integrations with GitLab, GitHub Enterprise, Bitbucket, and Confluence are also included, enhancing its utility for development teams.
feature - AWS What's New aiawsgapreviewengineeraws-lambdaaws-eksaws-bedrock ·
Amazon Bedrock AgentCore adds production agent optimization
AWS has introduced new optimization capabilities for Amazon Bedrock AgentCore, allowing agents to learn from production usage to improve continuously. These features address silent agent failures by surfacing insights into agent behavior and recommending specific, data-grounded fixes. The new tools, including failure, intent, and trajectory insights, are aimed at developers and architects building and managing AI agents, with some features available in preview and others generally available across multiple AWS Regions.
feature patch - AWS What's New aiawsgaarchitecthealthcareaws-bedrock ·
Amazon Bedrock Guardrails Adds Automated Reasoning Checks in Sydney
Amazon Bedrock Guardrails now offers Automated Reasoning checks, utilizing formal verification to mathematically validate AI model outputs, a significant advancement over traditional sampling. This new capability enhances AI safety by reducing hallucinations, policy violations, and ambiguity, particularly benefiting regulated industries like finance and healthcare. The feature provides up to 99% accuracy with provable assurance, is now available in the Asia Pacific (Sydney) Region, and can be accessed via the Bedrock console or SDK.
feature announcement - AWS What's New aiawsgaengineeraws-bedrock ·
Amazon Bedrock AgentCore harness now GA
AWS Bedrock AgentCore harness is now generally available, allowing teams to deploy production-grade agents quickly by defining them in configuration rather than coding the orchestration loop. This managed capability handles tool execution, state persistence, and session isolation, improving agent performance and reducing development time. Customers can also switch models mid-session and export their configurations to code for custom orchestration needs.
feature announcement - AWS What's New aisecurityawsengineeraws-bedrock ·
Amazon Bedrock AgentCore adds Guardrails for AI agent safety
Amazon Bedrock AgentCore now integrates with Bedrock Guardrails, enhancing safety and security for AI agents in production by providing real-time defense against prompt injection and data exposure. This feature offers centralized enforcement outside agent code, with logging via AgentCore observability, and is available in select AWS regions. It requires no new infrastructure and uses consumption-based pricing for policy evaluations.
feature - AWS What's New aiawsgaengineeraws-s3aws-bedrock ·
Amazon Bedrock Managed Knowledge Base GA
Amazon Bedrock Managed Knowledge Base, a fully managed RAG service, is now generally available. This feature allows developers to build AI agents grounded in enterprise data without managing vector databases or data pipelines. It supports multiple data sources and advanced retrieval capabilities, integrating with Amazon Bedrock AgentCore for seamless agent creation. The service is available in several AWS regions.
feature announcement - AWS What's New aiawsengineeraws-s3aws-sagemaker ·
Amazon S3 adds large-scale annotations for data discovery by AI and analytics tools
Amazon S3 now supports annotations, a new metadata capability allowing custom JSON, XML, or YAML context (up to 1GB per object) to be attached directly to S3 objects at scale. This feature enables AI agents and analytics tools to discover and understand data without requiring separate metadata systems, enhancing data discovery and usability. Annotations are available in all AWS Regions and can be accessed via S3 Metadata or queried using tools like Amazon Athena and SageMaker.
feature - AWS What's New aiawsengineeraws-bedrock ·
Amazon Bedrock Guardrails adds API for granular agentic AI workflow control
Amazon Bedrock Guardrails now offers the InvokeGuardrailChecks API, enabling granular, per-request control over safeguards in agentic AI applications. This new resourceless API allows developers to apply individual content, prompt attack, and sensitive information filters at any point in an agent's loop, returning severity and confidence scores for custom actions. It addresses the challenge of scaling guardrails in iterative AI workflows by operating in a detect-only mode, offering flexibility for evolving requirements. The API is available today in select AWS Regions.
feature - AWS What's New aiawsengineeraws-s3 ·
Amazon S3 Vectors cuts query costs for large vector indexes
Amazon S3 Vectors has reduced data processing charges for queries on vector indexes with over 10 million vectors by up to 80%. This change lowers costs for large-scale AI, RAG, and semantic search workloads by making queries more affordable. The new pricing applies automatically and is effective immediately in all AWS Regions. While costs are reduced, distributing vectors across multiple indexes is still recommended for optimal performance.
patch - AWS What's New aiawseolengineeraws-bedrockaws-iam ·
AWS Transform adds generative AI model migration assessment
AWS Transform now supports model-to-model migration assessment for generative AI workloads, producing a plan to move from third-party providers to Amazon Bedrock. This AI-powered agent scans code, identifies models, gathers requirements, and maps them to Bedrock equivalents with cost comparisons and code changes. The feature helps consolidate AI workloads on AWS, offering enhanced security and tooling, and is available in all AWS Transform regions at no extra charge.
feature announcement - AWS What's New aiawsengineeraws-ec2 ·
Amazon EC2 P6-B200 instances with NVIDIA Blackwell GPUs available in Asia Pacific (Mumbai)
Amazon EC2 P6-B200 instances, powered by NVIDIA Blackwell GPUs, are now available in the Asia Pacific (Mumbai) region. These instances offer up to 2x performance for AI training and inference compared to previous generations, featuring significant upgrades in GPU memory and networking capabilities. They are designed for large-scale AI workloads and are now available in multiple AWS regions, including Oregon, Virginia, Ohio, GovCloud, and Mumbai.
feature announcement - AWS What's New aiawspreviewengineer ·
AWS Blocks: Open-source framework for application backends (Preview)
AWS Blocks, an open-source TypeScript framework, is now in public preview, simplifying backend development on AWS by abstracting infrastructure tools. It allows developers to run a local environment with essential services and deploy the same code to production AWS services without modification. This framework aims to accelerate the development of applications by integrating database, authentication, and AI capabilities with full-stack type safety and built-in guidance for AI coding tools. It supports various frontend frameworks and is available at no extra charge, with deployment across all commercial AWS regions.
feature announcement - AWS What's New aiawsengineer ·
AWS Marketplace Adds AI Assistant for Product Listings
AWS Marketplace now offers an AI-assisted product listing feature within Partner Assistant chat. This capability helps ISVs and Consulting Partners automatically generate and optimize listings using existing digital assets, reducing manual effort and guesswork. It provides field-level recommendations and quality scores to improve discoverability by buyers. The feature is available in Partner Central and AMMP, excluding GovCloud and China Regions.
feature announcement - AWS What's New aiawsengineer ·
AWS Partner Central agents now offer real-time deal qualification and recommendations
AWS Partner Central agents have been enhanced to qualify co-sell opportunities in real time and provide recommendations that accelerate deal progression. This new functionality allows agents to enrich opportunity details conversationally, eliminating manual review delays for partners. The system now matches opportunities to specific co-sell motions and assigns an Opportunity Quality Score to guide AWS engagement, with the enhanced experience available today to AWS Partners globally.
feature - AWS What's New aiawsmediaaws-bedrock ·
xAI's Grok 4.3 available on Amazon Bedrock
Amazon Bedrock now offers xAI's Grok 4.3 model, expanding choices for generative AI applications. Grok 4.3 is a reasoning-first model designed for consistent multi-step agent behavior and efficient token usage, making it suitable for enterprise workloads like contract review and financial analysis. It runs on Bedrock's new Mantle inference engine, optimized for performance and cost.
feature announcement - AWS What's New aiawsengineerfinancemediaaws-cloudfront ·
AWS WAF adds AI traffic monetization for bots
AWS WAF now offers AI traffic monetization, a new capability allowing content owners to set prices, accept payments, and grant access to AI bots accessing their APIs and content. This feature utilizes an HTTP 402 response for machine-to-machine payments, with initial integration via Coinbase and upcoming support for Stripe. It enables differentiated pricing and revenue analytics, and is available at no additional charge for AWS WAF customers.
feature - AWS What's New aiawsgaengineeraws-bedrock ·
AWS Bedrock AgentCore Memory Adds Strictly Consistent Metadata
Amazon Bedrock AgentCore Memory now allows developers to directly attach metadata to long-term memory records, ensuring data integrity and enabling precise filtering. This feature improves data organization, facilitates compliance, and supports multi-tenant architectures by guaranteeing metadata values are preserved without LLM inference. Strictly consistent metadata is available in all AWS Regions where AgentCore Memory is supported.
feature - AWS What's New aiawsengineeraws-sagemaker ·
SageMaker now offers serverless fine-tuning for NVIDIA Nemotron models
Amazon SageMaker now supports serverless fine-tuning for NVIDIA's Nemotron 3 Nano model, allowing users to adapt foundation models with proprietary data. This feature simplifies the process by managing infrastructure and orchestration, enabling users to focus on data and evaluation. Serverless customization is now available in specific AWS regions and can be accessed via SageMaker Studio or the Python SDK.
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About AWS release tracking on ReleaseBytes
AWS ships hundreds of service updates a month across EC2, Lambda, RDS, S3, EKS and the rest of the catalogue — far more than anyone can follow by reading the official What's New feed. ReleaseBytes ingests announcements from AWS's official release channels and the Terraform AWS provider changelog, summarises each one in plain English, and tags anything that is a breaking change, security advisory or deprecation so you can see at a glance whether it affects your workloads.
Frequently asked questions
How often are AWS release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official AWS release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of AWS changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new AWS releases? ›
Set up a free email or Slack alert filtered to AWS, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the AWS release data come from? ›
From the official sources: Amazon Web Services releases and Terraform AWS provider. Every item links back to the original vendor announcement.