Fortinet partners with Nvidia to enhance GPU-powered AI security
The cybersecurity firm is embedding zero-trust protections directly into Nvidia's AI infrastructure, targeting threats like prompt injection and data exfiltration at GPU speed.
Fortinet is going deeper with Nvidia, announcing an expanded integration of its FortiAIGate solution with Nvidia’s AI platforms. The partnership, revealed on May 12, aims to deliver GPU-accelerated, zero-trust security built specifically for AI workloads running in data centers and cloud environments.
The integration taps Nvidia’s Blackwell and Hopper GPUs alongside the Dynamo inference framework to protect against AI-specific threats, including prompt injection attacks and data exfiltration, while keeping latency to a minimum.
What the integration actually does
Fortinet’s approach embeds security controls directly within the AI compute layer, so threats targeting large language models and agentic AI systems get caught at the point of execution. When an enterprise runs AI models on Nvidia hardware, Fortinet’s security layer operates at GPU speed alongside those models, inspecting and enforcing policies without creating bottlenecks.
The partnership specifically addresses runtime guardrails for LLMs and autonomous AI agents. Fortinet’s solution also supports scalable multitenant deployments, which matters for cloud providers and managed service companies running AI workloads for multiple clients on shared infrastructure. Data sovereignty is another focal point of the integration.
Fortinet COO John Whittle emphasized that security is what enables AI innovation rather than inhibiting it.
AI, tech, and the markets they move—in one daily briefing.
Daily. Free. Join 34,000+ readers across crypto, finance, and policy.
Building on earlier groundwork
This isn’t the first time Fortinet and Nvidia have linked arms. On December 16, 2025, Fortinet announced the integration of its FortiGate VM with Nvidia’s BlueField-3 DPUs. That earlier collaboration focused on embedding firewalling and network segmentation capabilities directly into AI infrastructure without taxing the host CPUs or GPUs running actual workloads.
Why this matters for the AI security market
Financial analysts have noted a positive response in Fortinet’s stock following the announcement, reflecting investor confidence in the company’s strategy within the expanding AI security sector.
The Nvidia partnership gives Fortinet deep hardware-level integration with the dominant AI compute platform. Nvidia’s GPUs power the vast majority of enterprise AI training and inference workloads.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
More in AI
See all-
xAI adds invisible text watermarking to Grok API models
-
OpenAI to merge ChatGPT and Codex token allowances in December 2026
-
Digital Realty raises full-year guidance after record leasing bookings
-
DARPA bets on ‘energy calculus’ to tame AI’s power appetite
-
Google DeepMind trains Gemini 3.1 Flash-Lite on simulated patients to sharpen psychiatric intake
-
Google DeepMind builds a dancing robot from a single text prompt

