Introducing the Nirmata Cloud Controller: Preventive Cloud Governance at Scale

What Is the Nirmata Cloud Controller? Stop Risky Cloud Changes The Moment They Happen Cloud Admission Controller How the Cloud Controller Works 1. Inline Enforcement (Admission Control) 2. Continuous Scanning (Drift & Legacy Detection) Continuous Compliance When Reality Drifts from IaC Cloud Scanner Flow Kyverno-Style Policies Extended Beyond Kubernetes Unified Governance Model Built for Large AWS Organizations Enterprise Discovery Model Standardized Policy Reporting for Platform Teams Unified Governance Across Pipelines, Clusters, and Cloud Unified Governance View How is Cloud Controller Different from CSPM and CNAPP? Key Differences How to Get Started with Nirmata Cloud Controller Cloud governance has a timing problem. Most organizations discover cloud misconfigurations after they happen, through CSPM dashboards, CNAPP alerts, or tickets that arrive long after the risky change is already live. By then, platform teams are stuck reacting instead of preventing. The Nirmata Cloud Controller (NCC) changes that model by bringing preventive, policy-as-code governance directly to the cloud API layer , while still providing continuous compliance and visibility as environments evolve. For platform engineers, Cloud Controller acts as a central control plane for governing cloud actions, cloud drift, and cloud posture, using the same Kyverno-style policies and reporting models they already trust in Kubernetes. The Nirmata Cloud Controller is a preventive cloud governance platform that enforces policy-as-code on AWS API requests in real time while continuously scanning cloud environments for drift and compliance gaps. Unlike traditional CSPM or CNAPP tools that detect issues after deployment, Cloud Controller can block non-compliant cloud changes before they are applied. The defining capability of the Nirmata Cloud Controller is admission-style control for cloud APIs. Instead of only scanning for issues later, Cloud Controller can intercept AWS API requests in real-time , evaluate them against policy, and decide whether they should be allowed at all. CLI / SDK / Automation | v Nirmata Cloud Admission Controller | Kyverno Policy Evaluation | Allow ✅ Deny ❌ | v AWS APIs This applies to: AWS CLI commands Automation and pipelines Scripts and tooling Any direct API-driven cloud change This is true preventive governance, not just visibility after the fact.