Nirmata’s AI Platform Engineering Assistant, the first AI-powered solution that brings automation and intelligence to every stage of infrastructure governance. Built on Kyverno, the industry’s leading Policy-as-Code engine, Nirmata turns platform engineering teams into force multipliers without slowing developers down.

AI-Powered Governance, Security, and Compliance

Nirmata’s AI Platform Engineering Assistant combines Kyverno’s trusted policy engine with a suite of intelligent AI agents and assistants that automate policy authoring, detection, remediation, and continuous compliance.

• Copilot provides a natural-language interface for platform engineers to describe desired outcomes, automatically generating policies and enforcement actions.

• NCTL AI (CLI Agent) – Implements natural language assistance in the command line (CLI) to generate policies and scans of resources and violations

• Policy Authoring Agent (PaC) converts natural-language intent into validated Kyverno policy-as-code, accelerating policy creation and reducing human error.

• Remediation Agent identifies and applies secure, compliant fixes across clusters and pipelines, minimizing manual intervention.

Why Enterprises Need AI-Driven Policy Enforcement

Today’s enterprises face four realities:

1. Scale and Complexity: Hundreds of clusters, thousands of nodes, and sprawling IaC repositories make manual enforcement impossible.

2. Rising Regulatory Pressure: From finance to healthcare, industries must prove compliance across both Kubernetes and IaC environments.

3. Operational Burnout: Platform and security teams are inundated with violations, alerts, and repetitive toil.

4. Inconsistent Rules: Disparate and even contradictory policies

Without automation, controls and compliance become bottlenecks — slowing down developers and creating risk exposure. AI for platform engineering flips this equation on its head. Instead of reactive policing, teams gain proactive guardrails and automated policy enforcement powered by Kyverno that ensure security, compliance, consistency, cost optimization, and resilience – all while preserving developer velocity.

Nirmata AI for Azure Kubernetes Service (AKS)

Autonomous Remediation & MTTR Reduction: Nirmata's AI agents automatically detect misconfigurations and policy violations across your AKS clusters and IaC pipelines, then generate and validate secure fixes (often as Git Pull Requests). This drastically cuts your Mean Time to Remediation (MTTR) and eliminates manual toil for Platform and Security teams.

Unified Multi-Cluster Governance: It provides a single control plane for consistently managing and enforcing security, compliance, and operational policies across your entire fleet of AKS clusters, as well as any other environments (AWS EKS, Google GKE, etc.) you may use.

Continuous Compliance for Azure Standards: The platform helps you proactively align with critical compliance frameworks (e.g., CIS Kubernetes Benchmarks, PCI, HIPAA, SOC 2). It provides the necessary evidence collection and reporting to prove your AKS environments adhere to standards, making you Audit-Ready.

Accelerated Policy-as-Code Authoring: Using a natural language interface, your teams can describe the desired governance rule (e.g., "All pods in namespace X must have memory limits") and the AI will automatically generate the corresponding Kyverno policy-as-code, removing the complexity of manual YAML authoring.

Cost & Resource Optimization: Nirmata policies can enforce controls to prevent the over-allocation of resources on your AKS nodes (CPU/Memory limits) or limit the creation of expensive resources, directly contributing to reduced infrastructure costs within your Azure environment.