Secure and scale AI Faster on Microsoft Azure with HashiCorp
Standardize deployments, reduce business risk, control cloud spend, and scale AI confidently on Microsoft Azure with HashiCorp Terraform and Vault.
The Agentic AI Readiness Gap
What Security, Infrastructure, and AI Leaders Need to Do Next
Most organizations are asking how to scale AI. The better question is whether they're ready. This executive roundtable will help leaders understand where they are on the AI readiness journey and what governance, security, and operational capabilities are required before agentic AI can scale successfully.
What happens when you standardize AI and data infrastructure on Microsoft Azure with HashiCorp?
Reduce business risk, accelerate delivery, control costs, and scale consistently across your organization — with policy and security built into every deployment.
Reduce riskPrevent audit failures and reduce breach exposures by eliminating secret sprawl and enforcing policy across every Azure environment. Apply security early in the lifecycle — before issues occur, not after.
Accelerate delivery Accelerate time to market with standardized, repeatable infrastructure and automated workflows. Remove security bottlenecks and rework cycles so teams can get features to market faster.
Control costsReduce wasted cloud spend caused by inconsistent deployments, unused resources, and reactive fixes. Improve efficiency with centralized control and automation.
Scale consistentlyScale AI and data platforms consistently across business units with governance, automation, and security built in from the start.
Take a deeper dive
On-demand webinar
Whether you’re just getting started with AI on Azure or looking to optimize existing workflows, this session will provide guidance on aligning infrastructure, security, and operations to accelerate innovation.
Hands-on workshop: Azure Landing Zones | Sep 23
Join 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.
Customer story - Compounding returns through automation
Riverty, a leading financial services provider, uses the HashiCorp suite to deliver a single, automated provisioning workflow and protect sensitive data
Discover, govern, and scale Azure infrastructure in the AI era
Read the blog
The challenge of scaling AI and data at enterprise scales
Many organizations have established cloud foundations on Microsoft Azure but struggle to standardize, secure, and scale AI and data workloads as complexity grows.
- Inconsistent security Different deployment patterns across teams → Create security gaps and increase audit risk
- Secret sprawl Growing number of credentials → Increases exposure and audit complexity
- Process bottlenecks Manual or reactive reviews → Slow releases and create operational friction
- Fragmented environments Inconsistent platforms → Drive higher costs and make AI harder to scale
Standardize, secure, and scale — without tradeoffs
- Reduce risk
Eliminate secrets sprawl and enforce consistent security controls across environments—reducing exposure to breaches and audit failures.
- Increase speed
Accelerate AI and data delivery with standardized infrastructure and embedded guardrails—removing friction from development workflows.
- Control costs
Reduce cloud waste and operational overhead through consistent deployments and automation—preventing spend from scaling out of control.
- Scale with confidence
Enable consistent, governed environments across business units—supporting rapid growth without increasing complexity.
Talk to an expert about securing and scaling AI on Microsoft Azure.
Whether you're focused on reducing risk, accelerating delivery, controlling costs, or scaling across teams, discuss your Azure environment with a HashiCorp specialist to identity opportunities to standardize deployments, strengthen security, and accelerate AI delivery on Microsoft Azure.