GPT-6 Astra: Frontier intelligence for work, now generally available in Microsoft Foundry

The next era of enterprise AI will not be defined by chat experiences. It will be defined by how well a model can work for and with you. GPT-6 Astra, OpenAI’s newest frontier model, is now generally available for all customers in Microsoft Foundry. It is designed to help organizations make decisions for complex work and execute across the applications and systems where your business operates.

We are investing to make it easier for customers to use advanced technology like Astra. AI initiatives often slow down on identity, networking, governance, data handling, evaluation, and compliance. Microsoft Foundry brings these fundamentals together in Azure, helping teams move from experimentation to production with speed and trust.

Turn open-ended goals into action

Astra is built to take an open-ended challenge, reason through it in multiple steps, create a plan, and produce a polished result. It can weigh trade-offs, incorporate new direction as work progresses, and use tools across applications and systems. 

For enterprises, this shifts AI from conversational assistance toward delivering more substantial units of work:

Deliberate planning and decision support. Astra can break a challenge into steps, evaluate options, communicate its recommendation, and identify the next actions for review.

Polished, purposeful output. Astra can apply context, templates, and quality standards throughout a workflow, helping produce documents, spreadsheets, presentations, and analyses that are ready for review.

Execution across applications. With advanced tool use and computer use, Astra can interact with software on a person’s behalf, move between apps, and complete multi-step tasks with appropriate human oversight.

At Replit, our mission is making useful intelligence accessible to everyone. GPT-6 Astra available through Microsoft Foundry unlocks a new level of agentic capability that goes beyond code generation to active software creation and more. We’re excited about the opportunities created for developers and entrepreneurs to build more ambitious applications with an intelligent software-building partner.
—Luis Hector Chavez, CTO, Replit

Computer use across applications

Astra’s computer-use capabilities are designed to work across familiar applications, including workflows without dedicated APIs. It can interpret on-screen information and interact with approved interfaces to support tasks such as updating records, navigating development tools, testing software, and assembling results into reports. OpenAI reports state-of-the-art results on selected computer-use evaluations; performance varies by task, tools, configuration, and safeguards.

Capability this direct demands containment. Content displayed in an application may be incomplete, misleading, or designed to influence an agent’s behavior. Foundry helps customers define access, approvals, and monitoring, and design workflows with scoped credentials, approved resources, human checkpoints for consequential actions, and activity records aligned to their risk requirements.

Enterprise scenarios we’re seeing

Software engineering: Astra can reproduce complex bugs, investigate likely causes, propose fixes, and prepare changes for developer testing and review.

Business intelligence: Astra can build and refine dashboards in Power BI, helping analysts compare data, identify trade-offs, and prepare insights to share.

Professional work: Astra can produce documents, spreadsheets, and presentations that follow existing templates and business standards, creating polished artifacts for expert review.

Application workflows: Astra can support tasks such as updating customer records, processing forms, testing websites, and working through approved interfaces where dedicated APIs are limited. 

Enterprise controls for agentic work

OpenAI describes Astra as its most aligned model to date and plans to publish supporting alignment, safety, and computer-use evaluations in its supporting launch materials. Foundry complements that model-level work with enterprise security, safety, and compliance capabilities, including Microsoft Entra identity and access management, encryption in transit and at rest, private networking options, role-based access controls, content filtering, safety evaluations, monitoring, and governance tools.

Prompts and outputs are not used to train the models. These capabilities help customers configure safeguards and maintain oversight, but do not eliminate risk or replace each organization’s responsibility to select and configure controls appropriate to its scenarios and regulatory obligations.

At Albertsons Companies, we believe the real advantage in frontier AI is the ability to evolve as quickly as the technology does, without compromising enterprise discipline. That means creating an environment where we can evaluate new capabilities, put the right ones to work quickly and maintain consistent security, governance and operational controls as we scale. Azure OpenAI on Microsoft Foundry helps us create that balance of speed and control, so our teams can stay focused on delivering meaningful outcomes for our customers, associates and the business.
—Anirban Nandi, VP, Data and AI, Albertsons Companies

Global scale with service level to match

GPT-6 Astra is available in Foundry models with Standard and Provisioned Throughput deployment options, in both Global and US Data Zone geographies. Standard provides pay-as-you-go flexibility for variable demand, while Provisioned Throughput provides dedicated model-processing capacity for workloads requiring consistent latency and guaranteed throughput. Customers can choose the right deployment based on workload requirements.

Astra is designed for token efficiency on complex work, helping customers manage consumption as they scale. Actual usage and costs will vary by workload and configuration.

GPT-6 Astra pricing*

Deployment Context Length Pricing (USD $/million tokens) Input Cached Input Cached Writes Output Standard Global Short context $10.00 $1.00 $12.50 $50.00 Long context $20.00 $2.00 $25.00 $75.00 Standard Data Zone (US) Short context $11.00 $1.10 $13.75 $55.00 Long context $22.00 $2.20 $27.50 $82.50 Provisioned Throughput pricing varies by deployment type. U.S. Data Zone Provisioned Throughput is priced at a 10% premium to Global Provisioned Throughput. For current rates and terms, see the Azure OpenAI pricing page.

Get started today

Explore the model: Try GPT-6 Astra in Foundry Models to see its advanced capabilities firsthand.

Build agentic workflows: Start with the Foundry Agent Service to bring cross-application task execution to your workflows.

Try GPT-6 Astra today

Explore the model and start building agentic workflows.

Learn more

The post GPT-6 Astra: Frontier intelligence for work, now generally available in Microsoft Foundry appeared first on Microsoft Azure Blog.
Quelle: Azure

How Microsoft’s Physical Security Engineering Team scaled hybrid operations with Azure Arc and Azure Virtual Desktop

When a physical security operator begins a shift supporting Microsoft’s global datacenter operations, they depend on a collection of applications and systems that help monitor access activity, review video feeds, investigate alerts, and coordinate physical security operations across a complex global environment. Those tools must be available, responsive, and reliable from the moment a shift begins.

As Azure datacenters expanded to support growing demand for cloud and AI services, maintaining that experience became increasingly important. Critical security systems were distributed across hundreds of locations worldwide, while the infrastructure supporting them spanned both on-premises and cloud environments. The challenge wasn’t responding to a specific incident or operational failure but ensuring that as Azure’s physical footprint continued to grow, the systems supporting those operations remained secure, manageable, observable, and consistent at a global scale.

See how Azure Arc unifies hybrid operations

Meeting that goal required more than simply keeping systems online. The team needed a way to manage infrastructure across hybrid environments, standardize operations, automate routine tasks, improve visibility into system health, and provide operators with consistent application experiences regardless of location. By combining Azure Arc, Azure Virtual Desktop, Azure Monitor, and other Azure management services, Microsoft built a more unified operational foundation designed to support the evolving needs of its global physical security environment.

Building a unified management layer across hybrid infrastructure

As Azure datacenters expanded, so did the infrastructure supporting their physical security operations. Critical systems were deployed close to the environments they served and operated within highly segmented networks designed to prioritize resiliency, security, compliance, and local autonomy. That architecture solved one challenge but created another.

The physical security organization was responsible for deploying and managing thousands of servers distributed across Microsoft’s global datacenter footprint in alignment with established protocols. While each deployment met baseline operational requirements, rapid growth and increasing scale made it increasingly difficult to guarantee consistency.

The team needed a way to bring these distributed systems under a common management framework without changing where the workloads ran or weakening the security boundaries that protected them.

Why Azure Arc

The objective wasn’t to move these workloads into Azure. Many of the systems supporting physical security operations needed to remain close to the environments they served and continue functioning independently when required by local operational or resiliency needs. Instead, the team was looking for a way to extend the operational benefits of Azure to on-premises infrastructure.

Azure Arc was designed to address exactly this type of challenge. At its core, Azure Arc extends Azure’s management and governance capabilities to servers and resources running outside Azure. Rather than treating on-premises systems as separate operational islands with their own tools and processes, Azure Arc allows organizations to manage those resources through Azure’s control plane. This makes it possible to apply, at scale, many of the same monitoring, policy, automation, security, and update-management workflows used in Azure to infrastructure running elsewhere.

For Microsoft’s physical security organization, Azure Arc made it possible to manage servers across its global datacenter footprint through a common operational model, regardless of where they were physically located.

More importantly, Azure Arc allowed the team to preserve the resiliency and security characteristics of their existing deployments while gaining centralized visibility, governance, and automation capabilities.

Establishing a consistent operational foundation

Once onboarded to Azure Arc, the team began extending familiar Azure management capabilities to infrastructure running outside Azure. Using Azure Update Manager, patching activities that had historically required significant coordination across distributed environments could be scheduled, tracked, and governed through a centralized framework. According to the team, this automation now saves thousands of hours annually while enabling a relatively small operations team to support a growing infrastructure footprint.

At the same time, Azure Policy, Guest Configuration, Azure Monitor, Azure Monitor Agent, and Log Analytics helped create a common framework for governance, compliance monitoring, and observability. The team could continuously assess critical security configurations, identify drift, monitor system health, and surface operational telemetry through centralized dashboards, alerts, and reporting workflows regardless of where infrastructure was deployed.

Security remained a primary consideration throughout the design. Managed Identities and Azure role-based access control (RBAC) helped reduce reliance on stored credentials while providing more granular control over access to operational resources. Azure Automation further reduced manual effort by standardizing remediation, maintenance, and configuration-management activities through reusable runbooks. Together, these capabilities helped establish a more consistent operating model across the environment while improving visibility, strengthening governance, and reducing the operational overhead associated with managing a globally distributed infrastructure.

Delivering a consistent operator experience with Azure Virtual Desktop

Unified management solved one part of the challenge. The next was ensuring that operators interacting with those systems received the same level of consistency, performance, and visibility.

The team’s objective extended beyond providing remote access. They needed a way to improve application performance, simplify lifecycle management, and gain better insight into the end-user experience. Azure Virtual Desktop provided a flexible platform for delivering applications closer to the infrastructure they depended on, while also enabling centralized image management and integration with Azure monitoring services. This allowed the team to maintain consistent host configurations, simplify updates, and incorporate user-session telemetry into existing operational workflows.

To improve the operator experience, the team relocated the application environment closer to the infrastructure it supported and delivered access through Azure Virtual Desktop sessions. The impact was immediate: application launch times improved by approximately 12x, helping operators access critical tools more quickly and consistently.

The team also adopted a centralized image-management strategy and automated host refresh process. Instead of maintaining individual systems over time, hosts could be rebuilt from approved images and deployed consistently across the environment. This approach accelerated release cycles by ~6x, reduced configuration drift, and allowed updates that once required weeks or months of coordination to be completed in hours.

Equally important was the visibility Azure Virtual Desktop unlocked. By integrating Azure Virtual Desktop with Azure Monitor, Azure Monitor Agent, Log Analytics, and Azure Virtual Desktop Insights, the team gained access to telemetry on session health, round-trip time, bandwidth usage, and client-side application behavior. Engineers could better understand how applications performed from the operator’s perspective, identify trends earlier, and shift from reactive troubleshooting to a more proactive, data-informed approach.

Key lessons for managing hybrid environments at scale

As Azure’s global datacenter footprint continued to grow, Microsoft’s physical security organization needed a management and delivery model that could scale alongside it. By combining Azure Arc and Azure Virtual Desktop, the team established a more consistent approach to managing infrastructure, delivering applications, and monitoring operational health across a complex hybrid environment.

The result wasn’t a single breakthrough technology, but a unified operating model that improved visibility, reduced operational overhead, and helped ensure critical systems remained resilient, manageable, and ready to support future growth.

Learn more

Azure Arc

Azure Virtual Desktop

Azure Monitor

Bring consistency and control to hybrid operations

See how Azure Arc helps organizations extend Azure management and governance capabilities across distributed infrastructure, enabling centralized visibility, automation, compliance, and operational consistency without changing where workloads run.

Explore Azure Arc

The post How Microsoft’s Physical Security Engineering Team scaled hybrid operations with Azure Arc and Azure Virtual Desktop appeared first on Microsoft Azure Blog.
Quelle: Azure