Claude Fable 5 available today in Microsoft Foundry: Powering the next era of autonomous agents

Claude Fable 5, Anthropic’s latest frontier model, is available today in Microsoft Foundry, powering agents in GitHub Copilot and Foundry Agent Service. Claude Fable 5 makes Mythos-level capabilities available to all customers, with strong safeguards designed to make it safe for general use.

See what’s new in Claude Fable 5

Fable 5 is designed for long-running, multi-stage, and asynchronous tasks like complex code refactoring, deep research synthesis, and document-heavy workflows. This elevated level of autonomy changes what teams can ask AI to do. Enterprises can now delegate sophisticated multi-turn projects to agents, enabling them to reason over your organization’s data to solve real problems.

For enterprises, this frontier capability is only part of the equation. To turn autonomy into real business impact, organizations need a platform to evaluate, ground, govern, deploy, and scale these systems in production.

That is where Microsoft Foundry comes in. Foundry brings Anthropic’s next generation of intelligence into the broader Microsoft agent platform, helping enterprises build ambitious, high-impact AI solutions on Azure with the security, governance, reliability, and operational controls required for real business workflows.

Combined with Microsoft IQ, Fable 5 can reason over your team, your knowledge, and your data across Power BI, your applications, and the web, with a continuously updating view that learns as usage grows.

The next generation of frontier intelligence

According to Anthropic, Claude Fable 5 is the next generation of intelligence for the hardest knowledge work and coding problems. It can handle tasks previous models couldn’t sustain and represents a step change in what teams can hand off to Claude.

Claude Fable 5 can plan its approach, check progress against the goal, and refine its work as it goes, instead of waiting for the next instruction. This makes it well suited for complex coding tasks, research workflows, and long-running knowledge work where the model needs to reason across multiple steps.

With improved vision capabilities, Claude Fable 5 is also a strong fit for multimodal projects involving documents, PDFs, diagrams, charts, and dense tables. It does not just read the words on a page; it can interpret the meaning carried by visual and structured information. When critical context is embedded in a chart, schematic, or complex table, Claude Fable 5 can take it in and reason over it, helping finance, legal, analytics, and architecture teams work through material that is often reviewed manually today.

Claude Fable 5 real-world enterprise use cases

For business leaders, Claude Fable 5 changes how knowledge work is accomplished across the organization. Fable 5 is a frontier general-purpose model designed to help support complex, cross-functional tasks that span reasoning, creation, and execution.

Key enterprise use cases include:

Software development: Supporting demanding coding and system-level builds that stretch across days and stages, by carrying context from analysis through implementation and review.

Financial services: Building investment research, working through earnings, weighing credit and risk, and supporting compliance workflows—including the numbers locked inside long filings and their exhibits.

Legal: Marking up and reviewing contracts, streamlining due diligence, digging through case law, and producing first-pass motions and memos.

Beyond these, Claude Fable 5 also carries professional work across marketing, sales, and analytics, shaping strategy, drawing out insight, and turning it into decision-ready output as part of connected, end-to-end workflows.

Built with safeguards for responsible use

According to Anthropic, Claude Fable 5 is being introduced with additional safeguards that reflect the company’s approach to responsible AI development. Because the model has advanced capabilities in sensitive domains such as cybersecurity, biology, and chemistry, Anthropic has placed limits on how far the broadly available version will go in those areas. Beyond the model’s built-in safeguards, Microsoft Foundry provides developers with advanced guardrails and controls, as well as robust observability and security capabilities in Foundry Control Plane. Last week at Build, we announced guided guardrail setup, which walks developers through a few questions about an agent’s users, data, tools, and actions, then recommends and applies the right controls at the right intervention points, tailored to each agent’s scenario. These enterprise grade responsible AI features help developers govern, monitor, and manage AI systems and agent fleets.

For a small set of select users, including participants in Project Glasswing, Anthropic is also offering Claude Mythos 5. Mythos 5 is a version of the same model intended for internal, defensive use with those domain restrictions removed. This approach allows Anthropic to make most of Claude Fable 5’s frontier capabilities broadly available while continuing to refine safeguards for higher-risk use cases.

For enterprise customers, this means access to advanced autonomous capabilities with a clearer safety posture, which is an important consideration when deploying AI systems in real business environments.

Why Microsoft Foundry?

Access to a powerful model like Claude Fable 5 is only the starting point. The real challenge for enterprises is operationalizing autonomous AI securely, reliably, and in alignment with organizational policies.

As Jay Parikh, Executive Vice President of CoreAI at Microsoft, recently said:

The winners won’t be those with the most demos, but those that turn AI into a governed, continuously improving system for running real work.

That is why platform matters. Microsoft’s agent platform spanning GitHub, Microsoft IQ, Foundry, Agent 365, Azure, and Microsoft 365, gives organizations the foundation to build, ground, govern, and improve AI systems at scale.

Microsoft IQ plays a critical role by connecting agents to enterprise context across Microsoft 365, business systems, and knowledge bases, so models like Claude Fable 5 can reason with the right organizational context instead of operating in isolation.

With Microsoft Foundry, customers can turn frontier models into enterprise-ready solutions. They can evaluate and deploy Claude Fable 5 alongside other Claude models, apply platform-level security and governance controls, integrate AI into existing workflows, and scale from pilot to production with identity, access management, and operational controls built in.

Pricing

ModelInput/1M TokensOutput/1M TokensClaude Fable 5$10$50

Moving from experimentation to impact

Claude Fable 5’s arrival on Microsoft Foundry marks a milestone for enterprises ready to tackle more ambitious problems, streamline complex workflows, and enhance productivity across the organization. By bringing Claude Fable 5 to Foundry, Azure enables organizations to move faster, from experimentation to real, accelerated business impact without compromising on trust or control.

Ready to explore what autonomous AI can do for your organization? Access Claude Fable 5 today in Foundry Models, Foundry Agent Service, and GitHub Copilot.

Claude Fable 5
Unlock advanced agent capabilities for long-running tasks, enterprise workflows, and AI-driven productivity.

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Quelle: Azure

AWS Backup support for Amazon EKS is now available in the AWS European Sovereign Cloud (Germany) Region

AWS Backup support for Amazon Elastic Kubernetes Service (EKS) is now available in the AWS European Sovereign Cloud (Germany) Region. This expansion brings fully-managed, policy-based data protection and recovery to your Amazon EKS clusters in this newly supported Region — including automated scheduling, retention management, immutable vaults, and cross-Region and cross-account copies.
You can use AWS Backup for Amazon EKS to protect entire EKS clusters, specific namespaces, or individual persistent volumes using a centralized, agent-free solution that replaces custom scripts or third-party tools. Use AWS Backup to protect your clusters for disaster recovery, compliance requirements, or before EKS cluster upgrades.
To get started, visit the AWS Backup console, refer to the AWS Backup documentation, or read the AWS News Blog.
Quelle: aws.amazon.com

Amazon S3 Access Grants are now available in the AWS European Sovereign Cloud (Germany) Region

You can now create Amazon S3 Access Grants in the AWS European Sovereign Cloud (Germany) Region.
Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity.
Visit the AWS Region Table for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our product page.
Quelle: aws.amazon.com

Amazon SageMaker Unified Studio Notebooks now support EMR Serverless

Amazon SageMaker Unified Studio Notebooks now support Amazon EMR Serverless with Apache Spark Connect, giving data engineers and analysts more flexibility in choosing their Spark runtime for interactive analytics and data engineering workloads. In addition to Amazon Athena Spark, users can now leverage Amazon EMR Serverless as their Spark runtime, selecting the optimal engine based on their requirements.
With this launch, you can run PySpark and Spark SQL on an EMR Serverless Spark Application in Notebook cells. Users can select their Spark runtime from the Notebook side panel, and the selected runtime applies to both Python and SQL cells. Additionally, users can leverage SageMaker Data Agent, the built-in AI assistant, to generate code and execution plans from natural language prompts, accelerating Spark development workflows with EMR Serverless. Organizations can leverage pre-initialized capacity to improve session start times, while benefiting from unified Spark UI monitoring across all supported engines for consistent visibility into job execution and performance. Additionally, EMR Serverless provides VPC connectivity support for workloads requiring network isolation.
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available, supporting both SageMaker Unified Studio notebooks and JupyterLab IDE environments. To get started, see Amazon SageMaker Unified Studio User Guide.
Quelle: aws.amazon.com

Run Interactive Workloads on Amazon EMR Serverless with Spark Connect

Amazon EMR Serverless now supports interactive sessions with Spark Connect, enabling you to develop and run Apache Spark applications from managed notebooks in Amazon SageMaker Unified Studio, as well as your favorite notebook environments and IDEs such as Jupyter and Visual Studio Code. You can also monitor and debug active and completed sessions in the EMR console, and get granular cost and usage visibility for individual sessions. 
 
An interactive session provides a persistent Spark context that seamlessly spans across cells and scripts, enabling you to blend local Python code execution with remote Spark operations within a unified environment. This is enabled by Spark Connect’s client-server architecture, which decouples your application client from the Spark driver and allows you to maintain your preferred development environment and tooling while Spark infrastructure runs independently on EMR Serverless. This architecture unlocks workflows including ad hoc data exploration, iterative step-by-step debugging, and incremental PySpark job development before deploying to production.  For observability, you get real-time session monitoring via the Spark UI, history tracking through the Spark History Server, and session management from the EMR console or API/CLI/SDK.
 
Spark Connect on Amazon EMR Serverless is available with EMR release 7.13 in all AWS Regions where Amazon EMR Serverless is available. The SageMaker Unified Studio experience is available in supported regions. To get started, visit the EMR Serverless Interactive Sessions User Guide or the Amazon SageMaker Unified Studio Getting Started guide.
Quelle: aws.amazon.com