Nirmata Launches AI Platform Engineer to Automate Cloud-Native Infrastructure Governance and Management

Why It Matters

By automating complex Kubernetes security and compliance tasks, Nirmata enables platform teams to scale AI‑centric development while reducing risk and operational costs, turning a traditional bottleneck into a strategic enabler. This capability is critical as AI infrastructure spending surpasses $350 billion and enterprises scramble to meet rapid software delivery demands.

Summary

Nirmata announced the general availability of its AI Platform Engineering Assistant, an AI‑driven solution built on the Kyverno policy‑as‑code engine that automates Kubernetes, Infrastructure‑as‑Code and hybrid‑cloud governance. The assistant provides a conversational Copilot interface, a policy‑as‑code agent that translates natural‑language rules into validated Kyverno policies, and a remediation agent that auto‑generates and validates fixes with human oversight. Designed to cut hours of manual policy authoring, detection and remediation, it integrates with multi‑cluster Kubernetes, CI/CD pipelines and existing developer workflows. The launch targets the accelerating AI‑driven software development market, where enterprises face skill gaps and rising complexity in cloud‑native infrastructure.