Implement guardrails for GPU resource allocation and utilization
Webinars
Cloud Edition
Webinar
Securing and Governing AI/ML Workloads on Amazon EKS with Agentic AI, Nirmata & Kyverno
October 15 | 9:00 AM PDT | 60 min
Speakers
Mayur Kotamraju
Solutions Architect
Nirmata
Marina Novikova
Sr. Partner Solution Architect
AWS
Randi Belz
Strategic Partner Development Manager
Nirmata
What You'll Learn
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, in conjunction with Nirmata’s policy management platform and Kyverno, the leading Kubernetes-native policy engine, provides comprehensive governance for AI/ML workloads on EKS.
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.
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
Who should join?
- DevOps Engineers
- Platform Teams
- Security Professionals
Managing AI workloads on Amazon EKS that want to implement robust governance without compromising agility.
