Nirmata

Policy as Code: The Essential Strategy for Securing AI Workloads in Kubernetes  

The rise of AI is transforming industries, but it’s also introducing unprecedented complexity. As organizations deploy more AI models—LLMs, recommendation engines, real-time analytics—the attack surface expands, compliance risks multiply, and resource contention intensifies. For platform engineers and AI infrastructure teams, the stakes have never been…

0

Securing Platform Engineering with Kubernetes Multi-Tenancy and Micro-Segmentation

At KubeCon, Jim Bugwadia and Rachael Wonnacott, from Nirmata and Fidelity International, respectively, delivered a session focusing on platform engineering, multi-tenancy, and micro-segmentation. They discussed how these concepts contribute to secure and efficient platform engineering practices, aiming to reduce cognitive load for developers while maintaining…

0

5 Essential Policies to Implement in Your Kubernetes Cluster with Kyverno

In a recent session at KubeCon, Jim Bugwadia, co-founder of Nirmata and Kyverno maintainer, shared five must-have policies that Kubernetes administrators should consider using to enhance their cluster security and efficiency. Kyverno, a powerful policy-as-code solution, has been helping organizations streamline their policy enforcement with…

0

Enforcing Security & Operational Best Practices for AWS Bedrock with Nirmata

As organizations adopt AWS Bedrock for generative AI, maintaining governance, security, and efficiency becomes essential. Nirmata Control Hub enables teams to scan AWS Bedrock services and enforce compliance using declarative policies. By embedding policies directly into your workflows, you ensure that every model invocation, configuration,…

0