The code passed all tests. Then it changed.
You didn’t touch it. Your team didn’t merge anything. Yet the infrastructure in production is no longer the same as what lives in your Git repository. This silent drift between Infrastructure as Code and reality is the slowest and most dangerous failure mode in modern cloud environments. It erodes trust, complicates incident response, and breeds brittle systems that break when you least expect it.
Environment agnostic IaC drift detection ends this problem at the root. It doesn’t matter if your workloads run across AWS, GCP, Azure, Kubernetes, or bare metal. It doesn’t matter if you use Terraform, Pulumi, or another engine. Every environment. Every stack. All aligned with source of truth.
Traditional drift detection ties itself to a specific provider or IaC tool. It works in silos, spotting changes only in the narrow scope it understands. When real-world environments are hybrid and multi-cloud by default, this leaves invisible gaps. An environment agnostic approach inspects all resources across all targets and normalizes them into one unified reality check. Changes are detected in real time—whether they were caused by a misguided kubectl apply, a console tweak at 2 AM, or an automated process gone rogue.