⛶ Platforms & Cloud

Landing zones

Which to choose, and when: Azure AI landing zone, AWS AI landing zone, Google Cloud AI landing zone, Multi-cloud / hybrid.

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A landing zone is the secure foundation your AI workloads “land” on: accounts or subscriptions, private networking to model endpoints, identity, policies, logging, quotas and budgets, all as code. Without one, every AI project reinvents security, and shadow AI appears with public endpoints and keys in code.

Why you’d want one

New AI projects start in days with approved defaults
No public model endpoints or leaked API keys
Central cost, quota and audit visibility

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Azure AI landing zone

Choose it when

Built on Microsoft’s Cloud Adoption Framework landing zones
Azure OpenAI / AI Foundry behind private endpoints, with API Management as the AI gateway
Entra ID identity, Defender and Purview integration for regulated organisations

Watch out for

Model quotas are regional; plan capacity early
Many moving parts; policy-as-code is essential

AWS AI landing zone

Choose it when

Control Tower / Landing Zone Accelerator with strong account isolation
Bedrock gives Claude, Llama, Mistral, Amazon Nova and others via VPC endpoints
Service control policies and guardrails to enforce region and model use

Watch out for

Model availability varies by region
Multi-account design needs careful planning up front

Google Cloud AI landing zone

Choose it when

Organisation hierarchy and shared VPC from Google’s foundation blueprints
Vertex AI with Gemini and partner models (including Claude)
VPC Service Controls create a perimeter against data exfiltration

Watch out for

Best when data and teams are already on Google Cloud
Perimeter design can block legitimate flows if rushed

Multi-cloud / hybrid

Choose it when

Regulatory, resilience or commercial reasons to use several providers
On-prem or sovereign-cloud GPUs combined with public models
A central AI gateway gives one policy layer across clouds

Watch out for

Highest complexity: only when there is a clear reason
Needs strong platform team and automation

Next step

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