Modern enterprises struggle with the scale and complexity of fixing policy violations in cloud-native environments, which is often manual and time-consuming. Nirmata's new AI-Powered Remediations, now in preview within the Nirmata Control Hub (NCH), offer a more innovative solution. This capability leverages a Large Language Model (LLM) to analyze policy violations in Kubernetes resources, automatically generating context-aware fixes with explanations. By providing actionable, explainable suggestions, AI Remediations aim to dramatically reduce Mean Time to Remediation (MTTR), unblock development teams, free up platform engineers from tedious manual fixes, and enable security teams to ensure issues are resolved more rapidly. This approach enhances developer velocity and platform efficiency, leading to proactive, intelligent, and assistive policy enforcement in DevSecOps.