Build the foundation for autonomous infrastructure
AI agents can now provision, modify, and manage infrastructure at machine speed. Your operating model needs the governance, visibility, and control to keep up.
Learn the framework
Explore the market trends driving autonomous infrastructure, the Infrastructure Lifecycle Management operating model, and the seven foundational layers enterprises need to govern agents at scale.
AI is changing infrastructure operations
Agents are becoming a core part of enterprise infrastructure. As AI adoption accelerates, infrastructure operations are becoming faster, more complex, and increasingly autonomous.
Key challenges
The operational cost of fragmentation
As AI accelerates infrastructure operations across hybrid and multi-cloud environments, maintaining consistency, visibility, and control is becoming more difficult, and more important than ever.
- Manual workflows can't keep upInfrastructure changes happen continuously at machine speed. Human-centric provisioning and approval processes slow delivery and create bottlenecks.
- Ad hoc governance creates ongoing risk Inconsistent policy enforcement leads to misconfigurations and compliance issues as infrastructure changes accelerate.
- Limited visibility makes costs unpredictableInfrastructure is spread across multiple tools and environments, making it harder to understand spend, identify waste, and make informed decisions.
Governed infrastructure operations for agentic AI
HashiCorp and IBM's Infrastructure Lifecycle Management (ILM) portfolio standardizes infrastructure with repeatable workflows that teams and AI agents can rely on. All while maintaining security, compliance, and financial control at every step.
AI-driven infrastructure requires a strong operational foundation
- Standardize infrastructure across every environment
Consistently provision infrastructure as code with reusable, version-controlled workflows that work across every hybrid and multi-cloud environment.
- Establish a trusted source of truth
Help AI agents make informed decisions by centralizing your infrastructure state, configurations, and dependencies into a trusted, unified context layer.
- Embed governance directly into workflows
Implement policy guardrails that automatically enforce security, compliance, and operational standards before infrastructure changes happen.
- Enable agentic infrastructure workflows
Let AI agents handle routine infrastructure tasks while built-in policy guardrails and human oversight keep every change secure, compliant, and auditable.
- Make infrastructure self-service
Provide approved infrastructure that’s easy to discover and use with standardized workflows that make infrastructure more accessible, repeatable, and consumable across the enterprise.
- Gain continuous visibility into infrastructure health
Monitor infrastructure state and get real-time updates on health, drift, and changes across all environments, helping teams detect issues earlier and take informed action.
- Optimize infrastructure throughout its lifecycle
Reduce waste, lower operational overhead, and retire unused infrastructure to keep environments secure and efficient over time.
Scale agentic infrastructure operations without losing control
Move at machine speed without sacrificing security, compliance, or governance.
- Move faster
Accelerate AI-driven infrastructure operations through trusted context and standardized workflows.
- Reduce risk
Embed policy directly into infrastructure workflows to reduce security and compliance risk.
- Scale with confidence
Keep governance, visibility, and human oversight in place as autonomous infrastructure grows.
Get started with these resources
Explore articles, tutorials, and other content to ease collaboration and help teams work faster and more securely.
Take the next step
Learn more about HashiCorp’s ILM solutions and how they help scale autonomous infrastructure safely.