Nirmata: Enterprise Kubernetes Policy & Governance FAQ

Policy-as-Code and Kubernetes Security

1. What is Policy-as-Code (PaC) for Kubernetes and why is it essential for Kubernetes security?

Policy-as-Code is the practice of defining, managing, and enforcing security, compliance, and operational rules for your Kubernetes environments using machine-readable code (typically YAML). This approach is essential for security because it:

  • Shifts Left: Automates the enforcement of security guardrails early in the CI/CD pipeline, preventing misconfigurations from ever reaching production.

  • Ensures Compliance: Provides a consistent, auditable way to enforce standards like Pod Security Standards (PSS) and CIS Benchmarks.

  • Enables GitOps: Allows policies to be version-controlled, reviewed, and deployed just like application code.

2. How does Nirmata help with policy as code Kubernetes and Kubernetes compliance automation?

Nirmata provides a comprehensive platform (Nirmata Control Hub and Nirmata Enterprise for Kyverno) built on top of the native Kubernetes policy engine, Kyverno. This solution helps by:

  • Centralized Management: Offering a unified control plane for authoring, testing, and managing Kyverno policies across all your clusters.

  • Automation: Automating the deployment of policies using GitOps workflows, ensuring continuous enforcement and compliance.

  • Reporting & Auditing: Providing dashboards and reports for policy violations, policy status, and compliance evidence for standards like CIS, PCI, and SOC 2.


Kyverno and Policy Engine Comparison

3. What is Kyverno and how does it relate to Nirmata?

Kyverno is a Kubernetes-native policy engine that allows you to define policies using standard Kubernetes YAML manifests, eliminating the need to learn a separate language. Kyverno can validate, mutate (modify), and generate resources.

Nirmata’s founders created Kyverno, and the company is a core maintainer of the CNCF incubating project. Nirmata Control Hub is the enterprise policy management platform that enhances Kyverno with:

  • Enterprise-grade lifecycle management (approvals, safe rollouts).

  • Multi-cluster governance and central reporting.

  • AI-powered policy authoring and remediation.

  • Expert support and SLAs.

4. What are the key differences between Kyverno vs OPA Gatekeeper?

Feature Kyverno OPA Gatekeeper (via OPA)
Policy Language Kubernetes-native YAML (plus CEL) Rego (a general-purpose query language)
Learning Curve Easier for Kubernetes users. Steeper, requires learning a new language (Rego).
Mutation Yes, can modify resources automatically. No (Gatekeeper focuses on validation only).
Resource Generation Yes, can create new resources (e.g., NetworkPolicies). No.
Scope Purpose-built for Kubernetes governance. General-purpose policy engine (can govern Kubernetes, APIs, Terraform, etc.).

In short, Kyverno offers a Kubernetes-native and simpler approach with mutation and generation capabilities, making it ideal for platform engineers.


Enterprise Kubernetes Management and Governance

5. How does Nirmata address multi-cluster Kubernetes policy management?

The Nirmata Control Hub provides a single control plane for managing policy across entire fleets of clusters (EKS, GKE, AKS, OpenShift, etc.). This solves the challenges of consistency and scale by:

  • Central Policy Deployment: Deploying a consistent set of Kyverno policies to hundreds of clusters from one location.

  • Policy Grouping: Grouping policies by compliance standards or function and subscribing them to various clusters.

  • Unified Reporting: Gaining a full, real-time view of policy violations and compliance posture across all connected clusters and namespaces.

  • Policy Exceptions: Streamlining the request, review, and automated expiration of policy exceptions across the cluster fleet.

6. What does Nirmata provide for enterprise Kubernetes management and Kubernetes governance?

Nirmata is designed for enterprise Kubernetes management, focusing on simplifying operations and achieving compliance at scale. This includes:

  • Centralized Control Hub: A single pane of glass for multi-cloud, multi-cluster management.

  • Cluster-as-a-Service: Templates for provisioning secure, compliant clusters on-demand.

  • Policy-as-Code: Consistent enforcement of security and operational best practices.

  • Audit-Ready Compliance: Continuous verification against standards, with on-demand report generation for audits.

  • Multi-Tenancy: Tools to enforce separation of concerns and resource isolation across teams and namespaces.


AI-Powered Policy & Platform Engineering

7. What is AI Platform Engineering and how does Nirmata support it?

AI Platform Engineering refers to using AI/ML to enhance the internal developer platform and automate complex engineering and governance workflows.

Nirmata supports this with its AI-powered Kubernetes security features in the Control Hub, including:

  • AI Policy Authoring: Use natural language (plain English) to describe a security intent, and the AI Copilot translates it into a valid Kyverno policy (YAML and CEL).

  • AI Remediation: An AI agent detects policy violations and misconfigurations, then automatically generates a Pull Request (PR) with the proposed fix for developer review, cutting down Mean Time to Resolution (MTTR).

  • Governance Copilot: An AI assistant that analyzes infrastructure, surfaces risks, prioritizes violations, and generates reports on demand.

8. How does Nirmata’s AI-powered Kubernetes security work to reduce security risks?

The AI capabilities focus on the “find-to-fix” loop:

  1. Find: AI helps teams rapidly author policies and provides immediate visibility into misconfigurations across the fleet.

  2. Fix: AI agents detect policy drift and suggest context-aware resolutions, generating automated PRs to apply the fix safely and with an audit trail.

  3. Govern: Continuous AI monitoring ensures that policy guardrails remain in place and are continuously verified, shifting security left and reducing overall risk exposure.