Fortinet Deepens Integration to Uniquely Secure Enterprise AI at Scale with NVIDIA

Fortinet said it accelerated its FortiAIGate solution through integration with NVIDIA’s AI platforms and software technologies. The companies framed the update as a way to protect AI workloads and autonomous agents in real time while supporting monitoring and governance requirements across different deployment models.

The joint solution was described as covering AI workloads, data, and autonomous agents in data centers and the cloud, using inline deployment. FortiAIGate was positioned as providing visibility while supporting data sovereignty requirements and aiming to deliver high-performance protection with minimal latency.

Functionally, the solution extended zero-trust security to AI environments by managing AI model traffic and enforcing guardrails on inputs and outputs. The PR described protections for prompt injection attacks on large language models and content filtering, along with monitoring of user and device interactions, including logging prompt and response details for suspicious incidents.

FortiAIGate supported multiple deployment modes, including self-hosting, and was described as available as a GPU-powered appliance for data centers or as a virtual appliance or containers on NVIDIA-Certified Systems. NVIDIA virtualization techniques were cited for multitenant scale-out, and the PR said NVIDIA Multi-Instance GPU can split a physical GPU into independent instances with guaranteed QoS and fault isolation. John Whittle, Chief Operating Officer at Fortinet, said, “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.” Justin Boitano, Vice President, Enterprise AI Platforms, NVIDIA, said, “By integrating its FortiAIGate solution with the full-stack NVIDIA AI platform, Fortinet provides zero-trust security and real-time governance.”