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…

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Securing Platform Engineering with 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…

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