Check Point Releases "AI Factory Security Blueprint" Design Guidelines, Showcasing Optimal Solutions for AI Infrastructure Protection

Check Point Software Technologies Ltd. (Check Point® Software Technologies Ltd., NASDAQ: CHKP, hereinafter referred to as Check Point), a pioneer and global leader in cybersecurity solutions, has announced the release of the "AI Factory Security Blueprint." This is a vendor-verified reference architecture document for comprehensively protecting private AI infrastructure from the hardware layer to the application layer. This blueprint leverages Check Point's industry-leading firewall and AI security technologies, based on NVIDIA's BlueField data processing capabilities, to provide design guidelines for achieving "security by design" across all layers of the AI factory and data center.

Nataly Kremer, Chief Product Officer at Check Point, states: "AI infrastructure is becoming one of the most valuable and vulnerable assets for enterprises. Through the 'AI Factory Security Blueprint,' Check Point helps our enterprise customers protect their investments in AI infrastructure. We support the realization of security built-in from design, rather than retrofitted, across all layers of the stack."

AI data centers are the most strategically valuable and exposed assets within enterprise infrastructure. Companies and organizations are building private AI environments to protect intellectual property, meet data sovereignty requirements, and reduce public cloud costs, accumulating significant investments in assets such as GPU clusters, training pipelines, inference workloads, and proprietary models. The rapid pace of development makes it difficult for security architectures to keep up.

AI computing environments differ from traditional data centers, consisting of a combination of high-performance GPU clusters, distributed training pipelines, large data lakes, and real-time inference APIs, creating attack surfaces unanticipated by previous security tools. The range of threats extends from poisoning attacks on training data and model theft to lateral movement within Kubernetes Namespaces, prompt injection into inference APIs, and supply chain attacks exploiting open-source dependencies.

Four-Layer Protection Defined by the AI Factory Security Blueprint

• Boundary Layer: Check Point's Maestro Hyperscale Firewall provides Zero Trust Network Access (ZTNA), virtual security group segmentation, and scalable policy enforcement at the entry to the AI fabric, handling north-south traffic from external users, internet sites, and corporate networks.

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