Fortinet unveils FortiAIGate with NVIDIA AI integration

Fortinet has announced an expanded collaboration with NVIDIA to accelerate FortiAIGate, an AI security solution designed to protect AI workloads, data, and autonomous agents across data centers and cloud environments.

Why it Matters: As more organizations integrate artificial intelligence into their operations, securing AI models and the data they process has become increasingly important. Fortinet’s latest solution aims to help businesses deploy and scale AI applications while maintaining security, governance, and compliance without significantly affecting performance.

The joint solution combines Fortinet’s AI-driven Security Fabric with NVIDIA’s AI platforms and software technologies, providing real-time visibility into AI usage while supporting data sovereignty requirements through inline deployment.

“Enterprises everywhere are racing to adopt AI, and security has become a critical enabler of that innovation,” said John Whittle, Chief Operating Officer at Fortinet. “Together with NVIDIA, we’re delivering a solution that helps organizations secure and optimize AI deployments while maintaining performance, controlling costs, and meeting data sovereignty requirements.”

Runtime protection for AI: FortiAIGate is designed to secure AI applications and autonomous agents during operation by applying runtime guardrails for large language models (LLMs). The platform also protects Model Context Protocol (MCP) servers and AI agents while leveraging NVIDIA Blackwell GPUs, NVIDIA Hopper architecture, and the NVIDIA Dynamo distributed inference framework to deliver high-performance security with minimal latency.

According to Fortinet, this allows organizations to adopt AI-powered applications without introducing significant slowdowns or service disruptions.

Supporting AI sovereignty: The solution offers self-hosted deployment options that allow organizations to develop, deploy, and govern AI using their own infrastructure and data. FortiAIGate can monitor user and device interactions while logging prompts and responses associated with suspicious activities.

The company said this approach helps organizations comply with local regulations, including data privacy requirements such as the General Data Protection Regulation (GDPR), while reducing reliance on external AI providers.

Zero-trust security for AI: FortiAIGate extends zero-trust principles to AI environments by managing AI model traffic and enforcing security controls on both inputs and outputs. The platform is designed to block prompt injection attacks, filter unauthorized or harmful AI-generated content, and help prevent data leakage.

By learning an organization’s business context, Fortinet says the solution can help ensure AI-driven actions remain trustworthy and aligned with internal policies.

Justin Boitano, Vice President of Enterprise AI Platforms at NVIDIA, said the collaboration addresses the growing need for secure enterprise AI infrastructure.

“The accelerating shift toward autonomous AI agents is creating unprecedented demand for secure, high-performance enterprise computing platforms. By integrating its FortiAIGate solution with the full-stack NVIDIA AI platform, Fortinet provides zero-trust security and real-time governance, reducing threat exposure by shortening response times.”

Improving efficiency and scalability: Built on NVIDIA AI infrastructure, FortiAIGate is designed to deliver GPU-accelerated AI security while reducing hardware requirements and energy consumption compared to traditional CPU-based solutions.

The platform also supports multitenant AI deployments through NVIDIA virtualization technologies such as Multi-Instance GPU (MIG), allowing multiple AI workloads or customer datasets to operate on shared hardware with isolated resources and guaranteed quality of service.

Flexible deployment options: FortiAIGate can be deployed across on-premises, cloud, hybrid, and edge environments. It is available as a GPU-powered appliance for data centers, a virtual appliance, or containerized deployments running on NVIDIA-Certified Systems.

Fortinet said organizations receive consistent protection and centralized management regardless of deployment model, while the solution’s inline architecture helps address data sovereignty and governance requirements.

As enterprises continue expanding AI adoption, Fortinet and NVIDIA are positioning FortiAIGate as a platform that combines zero-trust security, real-time threat detection, and AI-specific protections to help organizations build and scale AI systems with security integrated from the start.

Can AI security platforms like FortiAIGate become as essential as traditional cybersecurity tools as enterprise AI adoption continues to grow?