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Check Point Releases AI Factory Security Blueprint to Safeguard AI Infrastructure from GPU Servers to LLM Prompts
As enterprises and neo-clouds invest billions in private AI infrastructure, Check Point delivers the industry's most comprehensive security architecture
About this update from Check Point Software Technologies Ltd.
[{"type":"text","content":"As enterprises and neo-clouds invest billions in private AI infrastructure, Check Point delivers the industry's most comprehensive security architecture for AI data centers\nREDWOOD CITY, Calif., March 23, 2026 (GLOBE NEWSWIRE) -- Check Point® Software Technologies Ltd. (NASDAQ: CHKP), a pioneer and global leader of cyber security solutions, today released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer. Leveraging Check Point's industry-leading firewall and AI security technologies, and building on NVIDIA BlueField data processing capabilities, the blueprint delivers security-by-design across every layer of the AI factory and data center. \"AI infrastructure has become one of the most valuable and vulnerable assets in the enterprise,” said Nataly Kremer, Chief Product Officer at Check Point. “The AI Factory Security Blueprint is how we help organizations protect those investments — not as an afterthought, but from the ground up, through every layer of the stack.\" The AI data center has become the most strategically valuable, and most exposed, piece of enterprise infrastructure. Organizations building private AI environments to protect intellectual property, meet sovereignty requirements, or reduce public cloud costs are accumulating GPU clusters, training pipelines, inference workloads, and proprietary models that represent substantial investments. And they are doing so faster than security architecture has been able to keep pace. Unlike traditional data centers, AI computing environments combine high-performance GPU clusters, distributed training pipelines, large-scale data lakes, and real-time inference APIs — creating attack surfaces that conventional security tools were not designed to address. Threats range from training data poisoning and model theft to lateral movement between Kubernetes namespaces, prompt injection against inference APIs, and supply chain compromise through open-source dependencies. The Check Point AI Factory Security Blueprint delivers layered protection at four levels: Perimeter Layer: Check Point Maestro Hyperscale Firewall provides Zero Trust Network Access (ZTNA), virtual security group segmentation, and scalable policy enforcement at the entry point t...