Event Details

As organizations deploy more AI and machine learning workloads on Amazon EKS, ensuring robust governance, security, and compliance becomes essential. This workshop demonstrates how Agentic AI, together with Nirmata’s policy management platform and Kyverno, the leading Kubernetes-native policy engine, delivers comprehensive governance for AI/ML workloads on EKS.

Join us to learn how to:

  • Implement guardrails for GPU resource allocation and utilization
  • Enforce security policies tailored to AI/ML containers and frameworks
  • Use agentic AI to auto-generate, validate, and test Kyverno policies, reducing misconfigurations and manual effort
  • Automate cluster governance on EKS with Kyverno’s policy-as-code approach enhanced by Nirmata’s AI-driven management
  • Monitor and audit AI workload behavior and compute resource consumption

We’ll demonstrate real-world examples of policy-as-code implementation using Kyverno to secure AI applications, prevent misconfigurations, and optimize resource usage. Learn how Nirmata’s AI  policy management capabilities enhance visibility and control over your AI infrastructure while maintaining development velocity.

This session is ideal for DevOps engineers, platform teams, and security professionals managing AI workloads on Amazon EKS who want to implement robust governance without compromising agility.