According to a recent LinkedIn post from Nirmata, the company is collaborating with Amazon Web Services on a live, hands‑on workshop focused on securing and governing AI and machine learning workloads running on Amazon EKS. The session is positioned for platform, DevOps, and security teams and emphasizes maintaining innovation speed while strengthening governance and compliance.
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The post highlights planned coverage of GPU governance guardrails, container security via policy‑as‑code, use of Agentic AI to generate and validate Kyverno policies, and automation of governance for EKS workloads at scale. It also points to goals of improving visibility, auditability, and compliance for cloud‑native AI workloads on Kubernetes.
For investors, the workshop suggests Nirmata is deepening technical alignment with AWS and positioning its capabilities around emerging AI/ML infrastructure needs on Kubernetes. This focus may support demand for Nirmata’s governance and security solutions among enterprise customers scaling AI workloads, potentially reinforcing its role within the broader cloud security and MLOps ecosystem.