Azure OpenAI Landing Zone Services
Move generative AI from pilot to production on a secure foundation. Skytech Enterprise designs and deploys Azure OpenAI landing zones with private networking, identity, content safety, monitoring and cost controls, in the Azure region you choose, including US regions.
Azure OpenAI landing zone at a glance
Who this is for
CTOs, cloud architects and security teams taking AI applications into production on Azure.
When you need this
An AI pilot is moving to production, security has concerns about public endpoints and data handling, or several teams are building AI separately.
Delivery model
Design and deployment project using infrastructure as code, with documentation and handover.
What is an Azure OpenAI landing zone?
An Azure OpenAI landing zone is a pre-configured, secure Azure environment for running Azure OpenAI and Azure AI Foundry workloads. It extends standard Azure landing zone principles with AI-specific controls: private endpoints, identity-based access, API management, content filtering, logging, quota management and cost tracking.
Microsoft states that prompts and completions sent to Azure OpenAI are not used to train OpenAI or Microsoft foundation models. See the Microsoft data, privacy and security documentation for Azure OpenAI.
What we deploy
- Network isolation – private endpoints, virtual networks and controlled outbound access.
- Identity – Microsoft Entra ID and managed identities instead of API keys.
- AI gateway – Azure API Management for authentication, rate limits, load balancing and usage tracking per team.
- Content safety – Azure AI Content Safety filters and prompt shields.
- Monitoring and logging – Azure Monitor, diagnostic logs and Microsoft Sentinel integration.
- Governance – Azure Policy, tagging and cost management.
- Region and data residency – deployments in your chosen region, subject to model availability.
Our process
- Assess use cases, data sensitivity and requirements.
- Design the reference architecture.
- Deploy with infrastructure as code.
- Validate security and performance.
- Hand over with runbooks.
Comparing options? Read Azure OpenAI vs OpenAI API: which is right for enterprise AI?.
Benefits
- Production AI that passes security review.
- Shared, governed AI capacity for multiple teams.
- Visibility of usage and cost per application.
Why choose Skytech Enterprise
- Azure architecture and cybersecurity expertise in one team.
- Built on Microsoft reference architectures.
- Clear guidance on region, model availability and quotas.
Related AI services
Azure OpenAI landing zone FAQs
Common questions about running Azure OpenAI securely.
Does Azure OpenAI use our data to train models?
Microsoft states that prompts, completions and data you provide are not used to train OpenAI or Microsoft foundation models.
Can Azure OpenAI be private?
Yes. You can disable public network access and connect through private endpoints within your Azure virtual network.
Which Azure region should we use?
It depends on your data residency requirements and which models are available in each region. US regions are available for US workloads; we confirm availability for your chosen models.
Why use API Management in front of Azure OpenAI?
It centralizes authentication, rate limiting, load balancing across deployments and usage tracking per application or team.
How long does a landing zone deployment take?
Typically 3 to 6 weeks depending on existing Azure foundations.
Take AI to production securely
Talk to Skytech Enterprise about an Azure OpenAI landing zone.