Infrastructure as Code (IaC)
Managing and provisioning AI infrastructure (compute, storage, networking) through machine-readable configuration files, improving repeatability and auditability.
Treats infrastructure definitions (VMs, containers, networks) as version-controlled code - using tools like Terraform or Ansible - so environments can be reproduced, reviewed via pull requests, and rolled back if misconfigured. IaC governance includes code-review policies, automated compliance scans (for open ports, encryption settings), and dependency-management to prevent drift between declared and actual infrastructure.
A data-science team defines their GPU-cluster, storage buckets, and network rules in Terraform. Every change goes through code review and automated security scans (checking encryption at rest), and the entire deployment can be recreated in minutes - ensuring consistency and auditability across environments.
“What used to take weeks of manual reviews and policy work is now structured and auditable in Enzai within minutes. It’s the first time AI governance has felt operational, not theoretical.”
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We help you find answers
What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
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Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.





