Palo Alto Networks, the global cybersecurity leader, has joined forces with NVIDIA to introduce a new blueprint for securing the “AI Factory,” the infrastructure powering today’s large-scale artificial intelligence innovation. This collaboration aims to help enterprises protect data, models, and workloads across every stage of the AI lifecycle.

Unveiled in October 2025, the partnership integrates Palo Alto Networks’ advanced AI-driven security solutions with NVIDIA’s accelerated computing and networking technologies. Together, the companies seek to build a foundation for secure, scalable, and high-performance AI operations that can meet enterprise-level demands in an increasingly automated world.

“AI is now the engine driving modern business transformation,” said Lee Klarich, Chief Product Officer at Palo Alto Networks. “With NVIDIA, we’re ensuring that this engine runs securely, from the data pipeline to deployment, without slowing innovation.”

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Protecting the AI Factory

At the heart of the collaboration lies the concept of the Secure AI Factory, a new model for designing and operating AI infrastructure. Powered by NVIDIA BlueField DPUs and Palo Alto Networks’ Prisma Cloud and AI Runtime Security (AIRS), the Secure AI Factory provides end-to-end visibility, protection, and governance across AI workflows, from data collection to inference.

This architecture addresses three key enterprise challenges: the speed of AI workloads, the growing data attack surface, and the need for compliance-ready security in regulated industries. By combining NVIDIA’s hardware acceleration with Palo Alto Networks’ real-time threat intelligence, the partnership delivers security that scales as fast as AI itself.

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Securing the AI Factory is a board-level necessity since it is the new engine for value creation. Our partnership with NVIDIA aims to provide a new security architecture for the AI era rather than merely integrating technology. By directly integrating trust into the infrastructure, we are empowering leaders to fully utilize AI without hesitation, as stated in a blog post on their website.

From Data Centers to AI Factories

The AI Factory concept marks a shift from traditional data centers to purpose-built infrastructure optimized for training and deploying AI models. As enterprises race to operationalize AI, securing these environments becomes a board-level priority. The Palo Alto Networks–NVIDIA collaboration positions itself as a cornerstone in this evolution, enabling organizations to build AI systems that are both high-performing and resilient against emerging threats.

“AI infrastructure is becoming as mission-critical as power grids,” said Kevin Deierling, Senior Vice President of Networking at NVIDIA. “Through our collaboration with Palo Alto Networks, we’re ensuring that AI innovation happens on secure, accelerated foundations that enterprises can trust.”

The Urgent Need for Secure AI Operations

The deployment of enterprise AI has surged faster than appropriate security mechanisms have been put in place. This disparity highlights an increasing risk: whereas AI is boosting efficiency and innovation, it is also greatly increasing the attack surface. Businesses are vulnerable to model training data, API exposure, and inference integrity in the absence of integrated security at the infrastructure level.

This gap is immediately addressed by the Palo Alto Networks–NVIDIA partnership, which offers a guide for businesses looking to protect their AI pipelines prior to scaling into production settings.

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Securing the Future of AI Innovation

The Secure AI Factory is part of Palo Alto Networks’ broader strategy to embed intelligent security into every layer of digital infrastructure. By leveraging NVIDIA’s accelerated networking and computing stack, enterprises can now deploy AI workloads with the confidence that data integrity, privacy, and model protection are built-in, not bolted on.

The surge in enterprise AI adoption has outpaced the implementation of proper security frameworks. According to Palo Alto Networks’ 2025 AI Security Report, 78% of organizations are currently deploying or testing AI-driven systems, yet only 6% have established the necessary guardrails to secure these environments.

This gap underscores a growing risk; while AI accelerates innovation and efficiency, it also expands the attack surface exponentially. Without integrated protection at the infrastructure level, enterprises face vulnerabilities in model training data, API exposure, and inference integrity.

The Palo Alto Networks–NVIDIA collaboration directly addresses this challenge, offering a blueprint for secure AI operations. By embedding trust and resilience into the very fabric of AI infrastructure, the partnership ensures that innovation and protection evolve together, not in isolation.

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FAQs

1. What is a Secure AI Factory?
 A Secure AI Factory is an advanced infrastructure model designed to build, train, and deploy AI systems safely. It integrates data processing, compute resources, and security controls to ensure AI operations are protected against cyber threats and data breaches.

2. How are Palo Alto Networks and NVIDIA working together on AI security?
 Palo Alto Networks provides its cybersecurity expertise through solutions like Prisma Cloud and AI Runtime Security, while NVIDIA contributes its accelerated computing and networking technologies such as BlueField DPUs. Together, they create an end-to-end secure foundation for enterprise AI workloads.

3. Why does AI infrastructure need a new security approach?
 AI workloads process vast amounts of sensitive data at high speeds, creating new attack surfaces that traditional security tools can’t fully protect. The AI Factory model introduces security built directly into the infrastructure layer, ensuring continuous protection during training and inference.

4. What are the main benefits of the Palo Alto Networks–NVIDIA collaboration?
 The partnership delivers real-time visibility, faster response to threats, and compliance-ready protection for AI pipelines. It helps enterprises scale AI innovation securely while maintaining performance and regulatory alignment.

5. How can enterprises adopt the Secure AI Factory framework?
 Organizations can start by integrating AI-aware security tools, leveraging GPU-accelerated environments, and aligning data governance policies. Palo Alto Networks and NVIDIA provide reference architectures and best practices to help enterprises transition from traditional data centers to secure AI factories.

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