You Built the Brain. Now Protect It: A Blueprint Architecture for Securing the AI Data Center & AI Factory

As enterprises turn traditional data centers into AI factories powered by LLMs, they unlock new revenue streams, competitive differentiation, and operational efficiencies—but also expose themselves to unprecedented risk. In this blog, we unveil Check Point’s blueprint architecture for securing AI data centers, so you can scale AI and transform infrastructure into a revenue generating advantage.

Enterprises are no longer just leasing AI—they are producing it. According to Markets and Markets, the global AI data center market is expected to grow from ~$236B in 2025 to ~$934B by 2030 at a CAGR of 31.6%, with enterprises being the fastest growing end user segment. Download the AI Factory & Data Center Security Blueprint

Download the AI Factory & Data Center Security Blueprint

Why are Organizations Building their own AI?

The main drivers leading organizations to build their own on-premises AI datacenters are the need to meet compliance and sovereign AI mandates, avoid prohibitive public cloud costs and concerns over risk to their data and intellectual property.

Another segment building their own AI factories are Neocloud providers, who deliver GPU-as-a-Service, building hyperscale AI factories to give enterprises on-demand, high-performance compute for training and inference.

New AI Data Centers. New Needs.

Organizations developing their own AI data centers contend with multiple new challenges. Whether their “AI factories” are designed for internal consumption, public use, or as a service they sell, they need to:

• Transform their own on-premises datacenters into those that can support AI training and inference through purpose-built GPU clusters, distributed inference services, and high-throughput networking
• Comply with industry-specific regulations and regional mandates such as sovereign AI, the EU AI Act, U.S. Executive Order 14110, GDPR, data residency laws and industry frameworks (such as HIPAA, PCI-DSS)
• Test and validate their new multi-vendor AI datacenter architecture, to ensure configuration, networking and automations all work properly, before deploying new hardware in production
• Prevent AI-specific risks to their AI applications and infrastructure, and ensure safe AI use and governance

AI-Stretched Attack Surface

So what are these multi-layered risks? Here’s a breakdown:

• AI application-level risks – include model theft, prompt injection, data leakage, model abuse
• AI infrastructure risks – in the form of AI systems vulnerabilities (CVEs), supply chain attacks and lateral movement inside the AI datacenter core
• AI governance and misuse risks – which may cause hallucination and toxicity, or adversely affect relevance and accuracy

A Layered Approach for AI Datacenter Security

Check Point takes a unique, layered defense-in-depth approach that spans application security, infrastructure security and safe AI use and governance.

Our integrated approach leverages an open platform and third-party integrations to secure the full AI stack at scale with:

• AI-Native Runtime Security – Check Point AI Agent Security defends inference APIs and LLM endpoints against prompt injection, data exfiltration, adversarial queries, and API abuse, protection that traditional web application firewalls are not equipped to provide
• Perimeter Layer Security – Provided by Check Point Firewalls, Maestro Hyperscale Firewall, DDoS Protection and Zero Trust Network Access
• Workload and Container Protection – Check Point network security with 3rd party microsegmentation and container-level isolation, and runtime protection for Kubernetes clusters
• Host Security on Every Node – Through Check Point AI Factory Firewall running on NVIDIA BlueField DPUs to provide Zero Trust segmentation and AI prompt inspection as a unified solution
• AI-Hardware Protection – Provided by NVIDIA BlueField, NVIDIA DOCA, and Check Point ThreatCloud AI

Figure 1: Check Point’s Defense-in-depth Layered AI Security

Check Point AI Factory Firewall – Tightly Integrated AI Security

As shown above, a key component of securing your AI factory is an AI factory firewall.
We are pleased to announce the General Availability of Check Point AI Factory Firewall, previously known as AI Cloud Protect, which is now available for purchase on the product catalog.
Thanks to our collaboration with NVIDIA, AI Factory Firewall runs natively on NVIDIA BlueField, delivering:

• Security at the host and network levels
• AI-native runtime protection, integrated at the DPU-level, to protect against prompt injection, data leakage, and model manipulation, with support for over 100 languages (Early Availability)
• Zero touch deployment for automated provisioning and configuration to simplify large scale AI infrastructure rollouts
• Safe cloud-based simulation environment so you can first test your AI design with NVIDIA DSX Air before you deploy it
• Full on-premises support, including air-gapped environments, enabling deployment in highly restricted data centers without external connectivity
• No impact on host and GPU performance

You can learn more about AI Factory Firewall here.

Figure 2: Check Point AI Factory Firewall and AI Agent Security running on NVIDIA BlueField

Takeaways for Securing your AI Data Centre

Whether you’re just planning your AI data center transformation, or have a fully operational AI factory, you can ensure security, compliance and smooth operations by:

• Implementing a defense‑in‑depth model that spans applications, infrastructure, and AI governance with zero trust, AI prompt security and DPU-level protection
• Leveraging clear policy control and auditing, as well as support for air‑gapped environments, to meet sovereign AI requirements
• Accelerating deployment of large-scale initiatives by pre-validating your full AI architecture in NVIDIA’s secure simulation environment before going live
• Simplifying security at scale through one open platform integrated across the AI stack
• Maximizing AI performance through native, low-latency integrations with AI infrastructure (e.g. NVIDIA BlueField)

Get Started Today

Download our full Blueprint Architecture for AI datacenter security or connect with one of our experts to discuss your needs today.