Build and deploy AI faster on Azure with automated, secure infrastructure
Automate infrastructure with Terraform, enforce policy–as code, and replace static credentials with Vault’s short-lived, identity-based access — so you can ship faster without manual rework.
Manual workflows are slowing down your Azure deployments
As AI and data workloads scale, manual workflows create bottlenecks that slow delivery, introduce risk, and prevent consistent, scalable environments.
Manual, inconsistent infrastructure deployments across environmentsTeams rely on ad hoc processes or scripts, leading to configuration drift, repeated effort, and environments that don’t behave the same from dev to production.
Security and compliance applied after deployment → causing rework Controls are often retrofitted instead of built in, creating delays, failed audits, and time-consuming rework late in the delivery cycle.
Secrets spread across pipelines, tools, and developer workflowsCredentials are hardcoded or stored in multiple places, increasing risk exposure and making it difficult to manage, rotate, and audit access.
Limited visibility across environments and teamsWithout centralized tracking of infrastructure, policies, and access, teams lack insight into what’s deployed, who has access, and where risks exist.
Automate and secure AI deployments on Azure — without slowing down delivery
Terraform standardizes deployments with infrastructure as code, policy as code enforces guardrails upfront, and Vault eliminates static credentials with dynamic, identity-based access. Together, they create repeatable, secure workflows, so teams can ship faster and scale AI and data platforms consistently.
Faster delivery without added risk
- Ship faster
Eliminate manual provisioning, reduce ticketing and setup time, and avoid rework by using automated, repeatable infrastructure workflows that keep development moving forward.
- Built-in security
Enforce policy and security guardrails at build time so teams don’t need to retrofit controls later, reducing risk and avoiding delays caused by compliance issues or failed audits.
- Consistent environments
Standardize deployments across teams and regions to prevent configuration drift, ensuring that environments behave predictably from development through production.
- Scalable workflows
Create repeatable, automated processes that can be applied across AI and data workloads, making it easier to scale infrastructure and teams without increasing complexity.
WEBINARS AND WORKSHOPS
Build skills to deliver faster on Azure
- WEBINAR | JULY 28 | 11AM ETEnabling secure, scalable AI deployments on AzureAs organizations explore and expand their use of AI, building a strong foundation for scalability, security, and governance becomes essential. This session introduces practical approaches to deploying and managing AI workloads on Microsoft Azure with greater efficiency and confidence. You’ll learn how to create consistent, repeatable environments while maintaining control over sensitive data and compliance requirements.
- WORKSHOP | SEPT 15 | 11AM ETHands-on workshop: Vault QuickstartLearn how to adopt Vault with best practices for secrets management and secure workflows. In this hands-on workshop, you'll explore Security Lifecycle Management, learn how to manage secrets and access with identity-based security, and gain practical experience configuring Vault for performance, governance, and application integration. Complete guided labs covering namespaces, secrets engines, AppRole authentication, and Vault agents.
- WORKSHOP | SEPT 16 | 11AM ETHands-on workshop: Cloud FoundationsAs cloud adoption scales, many organizations struggle with fragmented environments, operational complexity, and inconsistent governance. A centralized, secure, and scalable approach is essential. In this hands-on workshop, you'll learn how to provision and manage cloud infrastructure with HCP Terraform. Explore infrastructure lifecycle management from provisioning and state management to collaboration and governance, and gain practical experience applying best practices for operating infrastructure at scale.
- WORKSHOP | SEPT 23 | 11AM ETHands-on workshop: Azure Landing Zonesoin us at the Azure Landing Zones workshop, an immersive learning experience where attendees build and validate a complete two-tier architecture, starting with the platform landing zone and extending to application workload landing zones across development, test, and production environments. Throughout the deployment process, Sentinel policy-as-code ensures every infrastructure change is evaluated and governed before it reaches Azure.
Build and secure real-world Azure workflows
Take a closer look
Riverty automates hybrid cloud to deliver faster, safer financial infrastructure
[Customer story] Learn how Riverty achieved faster infrastructure deployment and quicker ticket resolution with self-service IaC with Terraform and Vault.
Discover, govern, and scale Azure infrastructure in the AI era
[Blog] Learn how Terraform helps organizations discover unmanaged Azure resources, reduce infrastructure drift, and enforce governance across growing cloud and AI environments.
Dynamic secrets with the Azure Provider
[Demo] Learn how HashiCorp Vault’s dynamic secrets engine replaces hardcoded Azure credentials by generating short-lived Service Principal credentials for Terraform.
Securing AI Deployments with HashiCorp Vault & Terraform on Azure
[Demo] Explore why AI projects stall before production and how HashiCorp and Microsoft Azure address this with verified modules, dynamic credentials, and context-aware security.
Start building with Terraform and Vault
Automate your Azure infrastructure, reduce risk, and scale your AI and data platforms — without slowing down delivery. Get started today with a USD 500 trial credit, available to use across the HashiCorp Cloud Platform.