Nirmata’s AI-Powered Remediations: A Smarter Way to Fix Policy Violations

Every modern enterprise strives for faster software delivery without compromising on security and compliance. As cloud-native environments grow in scale and complexity, so does the burden of identifying and fixing misconfigurations across clusters, pipelines, and cloud infrastructure. Today, we’re excited to announce a major leap forward in our mission to simplify cloud governance: AI-Powered Remediations , which is now available in preview in Nirmata Control Hub (NCH). Security and platform teams often face a growing backlog of policy violations—from missing labels to insecure container configurations to overly permissive network rules. Manually investigating each violation, understanding its root cause, and crafting a compliant fix takes time—and that time adds up. With AI Remediations, we’re dramatically reducing the Mean Time to Remediation (MTTR ). Instead of spending hours chasing down documentation or writing YAML from scratch, teams can now review and apply context-aware fixes in minutes. And the benefits go beyond speed: Whether it’s a Deployment, ConfigMap, NetworkPolicy, or any Kubernetes resource, if it violates a rule enforced by your Kyverno policies in NCH, we can generate a fix. Here’s how: Transparency by design: We don’t just tell you what to change – we explain why. You stay in control, with the ability to test and validate before deployment. AI Remediations aren’t about removing humans from the loop—they’re about giving your teams a smarter starting point. Think of them as policy-aware code suggestions that plug right into your existing workflows.