Mainframes Are the New AI Infrastructure. Protect it with Secure AI

Mainframes Are the New AI Infrastructure. Protect it with Secure AI Mainframes: AI Infrastructure for Next Generation Applications AI and Containerization on the Mainframe Introducing Aqua Secure AI Bringing Aqua Security to IBM Z and IBM LinuxONE Modernize Without Compromise If your AI workloads run in containers, then securing those containers is the first and most important step in protecting your AI. And as enterprises begin to deploy containerized AI workloads on Red Hat OpenShift for mainframe environments, that priority becomes even more urgent. IBM Z and IBM LinuxONE, long trusted to power the world’s most critical business systems are now evolving into innovation hubs, supporting advanced, containerized applications. With this transformation comes a new challenge: securing the infrastructure behind your most sensitive and high-stakes workloads The rise of generative AI and large language models (LLMs) has changed how organizations build and deliver value. From real-time fraud detection to intelligent customer support, AI is becoming embedded in nearly every business function. According to a recent McKinsey study , “ 78 percent of respondents say their organizations use AI in at least one business function, up from 72 percent in early 2024. ” These AI workloads are built and deployed in containers. Why? Containers offer portability, scalability, and efficiency, which makes them ideal for AI training, inference, and everything in between. IDC projects that 1 billion new logical applications will be created by 2028, resulting in more than 10 billion container instances across enterprise environments. These billions of containers won’t just run in a general purpose cloud. They will be deployed on purpose built hardware.