Azure AI Foundation: Secure Landing Zone Implementation

Preparing for AI requires more than just access to models; it requires a robust, scalable, and secure cloud foundation. Many organizations want to build AI solutions with their own developers, but IT/Security teams block rollout until a secure Azure foundation exists.

Velvetech's AI Infrastructure service deploys a "Best Practice" Azure environment specifically optimized for High-Performance Computing (HPC) and Generative AI workloads. We ensure your infrastructure is ready to handle Large Language Models (LLMs) while adhering to strict governance, cost control, and security standards (SOC2/HIPAA ready).

What We Do

• Private Networking: Configure Private Link/Private Endpoints so AI traffic stays off the public internet where supported.
• Security & Access: Entra ID-aligned RBAC (and optional PIM-ready structure) to enforce least privilege.
• Cost Management: Budgets, alerts, tagging, and guardrails to prevent runaway GPU/token/compute spend.

Key Benefits

• AI-Ready Landing Zone: Pre-configured Azure resources (Microsoft Foundry, Cosmos DB, Private Endpoints) for immediate development.
• Cost Control: Automated scaling rules to manage GPU/compute costs effectively.
• Data Sovereignty: Private networking ensures your proprietary data never traverses the public internet.
• Security Hardening: RBAC + Private Link for Azure OpenAI, Key Vault, and Policy-based guardrails (Azure Policy/initiative baseline).

Deliverables

• Architecture Blueprint: Detailed design of the Azure AI Landing Zone.
• Infrastructure-as-Code (IaC): Deployment of resources via Terraform or Bicep.
• Security Hardening: Implementation of Role-Based Access Control (RBAC) and Private Links for Azure OpenAI.
• Monitoring Setup: Dashboard for tracking API usage, latency, and costs.