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.
Autonomy without guardrails
AI agents are becoming a core part of enterprise infrastructure. As AI adoption accelerates across increasingly complex hybrid and multi-cloud environments, organizations need a way to scale infrastructure without sacrificing control.
Key challenges
The operational cost of fragmentation
The challenge is no longer getting to the cloud—it's managing infrastructure across increasingly fragmented environments. As AI accelerates infrastructure operations, maintaining consistency, visibility, and control is becoming more difficult, and more important than ever.
- Manual workflows cannot keep pace Infrastructure changes increasingly occur in real time across distributed environments. Human-centric provisioning and approval processes struggle to keep pace with the speed of modern infrastructure operations.
- Ad hoc governance creates ongoing risk Security and compliance controls are often applied inconsistently across environments. As infrastructure changes accelerate, governance gaps can lead to misconfigurations, policy violations, and operational risk.
- Limited visibility drives unpredictable costs Infrastructure state, dependencies, and resource usage are often spread across multiple tools. Without lifecycle visibility and centralized oversight, costs become harder to predict and optimize.
Governed infrastructure operations for agentic AI
HashiCorp and IBM's Infrastructure Lifecycle Management (ILM) portfolio helps organizations safely scale infrastructure operations in the era of AI. By combining governance, visibility, automation, and lifecycle controls, ILM enables autonomous infrastructure without sacrificing security, compliance, or financial control.
Scaling AI-driven infrastructure requires a strong operational foundation
- Standardize infrastructure across every environment
Provision infrastructure through reusable, version-controlled workflows instead of manual processes. Standardized infrastructure as code improves consistency while accelerating delivery across hybrid environments.
- Establish a trusted source of truth
Centralize infrastructure state, configuration, and dependencies into a unified context layer. Trusted context enables informed decisions and provides the foundation for agentic infrastructure operations.
- Embed governance directly into workflows
Enforce security, compliance, and operational standards directly within infrastructure workflows. Policy guardrails ensure every change aligns with organizational requirements before execution.
- Enable agentic infrastructure operations
Execute infrastructure tasks through governed AI-driven workflows. Embedded policy and human oversight ensure autonomous operations remain secure, compliant, and auditable.
- Deliver infrastructure through self-service
Enable developers and AI agents to access approved infrastructure through standardized workflows, which make infrastructure more accessible, repeatable, and consumable across the enterprise.
- Gain continuous visibility into infrastructure health
Maintain continuous visibility into infrastructure state and health across every environment. Real-time insight enables organizations to detect issues early and take informed action.
- Optimize infrastructure throughout its lifecycle
Remediate issues, optimize resources, and retire unneeded infrastructure to maintain secure and efficient environments over time. Lifecycle management reduces operational debt while keeping infrastructure secure, compliant, and cost-efficient.
Scale agentic infrastructure operations without sacrificing control
Scaling agentic infrastructure isn't just about speed — it's about building the operational foundation required to scale with governance, visibility, and control.
- 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
Maintain governance, visibility, and human oversight as autonomous infrastructure scales.
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Learn more about HashiCorp’s ILM solutions and discover strategies to tackle ILM challenges effectively.