AI Data Center & AI Factory Security Blueprint

Secure Access to AI Data Centers While Protecting AI Workloads, Applications, and Data 

Organizations are building on-premises AI data centers to maintain control over sensitive data, manage rising cloud costs, and support sovereign AI strategies. 
As traditional data centers transform into AI factories powered by private LLMs, they open the door to new possibilities. Enterprises can turn massive volumes of data into intelligence, accelerate innovation, and deliver smarter services. 
But this transformation comes with new risks. 
Training clusters, inference services, APIs, GPU servers, and AI applications expand the attack surface. Threats such as model theft, prompt injection, data leakage, and AI misuse can compromise intellectual property, disrupt AI operations, and expose organizations to regulatory and reputational risk. 
The AI Data Center & AI Factory Security Blueprint shows how organizations can secure AI environments end to end through a layered, defense in depth architecture that protects AI applications, workloads, infrastructure, and AI governance. 
Built on an open platform and tightly integrated with leading AI infrastructure such as NVIDIA BlueField DPUs, the blueprint enables organizations to secure the full AI stack while maintaining performance, control, and operational simplicity.

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Blueprint Takeaways

AI Infrastructure Expands the Attack Surface

AI data centers introduce new risks including model theft, prompt injection, data leakage, and API abuse across training and inference systems. 

Security Must Cover the Entire AI Stack

Protection must span policy control, AI apps, containers, clusters, hosts, and GPUs to prevent attackers exploiting gaps between systems. 

Protection Integrated into Hardware

Security integrated with NVIDIA BlueField DPUs delivers low-latency protection across AI workloads, infrastructure, and network traffic. 

Sovereign AI and Emerging Mandates

Organizations must maintain tight policy control, governance, and visibility to meet evolving AI regulations and regional mandates.

Unified Open Architectures

A unified security architecture simplifies deployment, supports multi-vendor environments, and secures the full AI stack at scale. 

Additional Resources

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