Fortinet Expands FortiGate G Series to Secure AI from the Data Center to Modern Enterprise Edges

Fortinet introduced two additions to its FortiGate G series, the FortiGate 3500G and FortiGate 400G. The company said the platforms target high-throughput security needs tied to growing encrypted traffic and distributed deployments, while adding hardware-enforced integrity protections.

Fortinet tied the new hardware to performance needs for AI-driven workloads and east-west traffic, and it said the approach addressed situations where advanced security services can affect firewall efficiency. The company also framed the update as extending platform consistency across hybrid infrastructures.

The FortiGate 3500G and 400G run on the FortiOS operating system and use Fortinet’s NP7 and SP5 processors. Fortinet said the series combines threat protection with integrated intelligence and hardware-enforced security. For visibility, it described native shadow AI detection for unsanctioned usage across AI applications and said FortiGuard AI-Powered Security Services apply continuously updated intelligence and machine learning to identify and prioritize threats and automate protection.

The company said FortiOS 8.0 expands visibility through MCP and agent-to-agent traffic inspection for deeper control over AI data flows and access. It added that the 3500G provides 400Gb connectivity, advanced ASIC acceleration, and “secure firmware enforcement” and “system-level transparency.” Fortinet also said the 400G extends these capabilities to distributed environments with a simplified upgrade path from existing FortiGate deployments and consistent interfaces across the portfolio.

“Organizations modernizing their infrastructures for AI-driven workloads and increasingly distributed environments need security platforms that can deliver both performance and protection at scale,” said Ken Xie, Founder, Chairman of the Board, and Chief Executive Officer at Fortinet. “The expansion of our FortiGate G series reflects our commitment to helping customers simplify their architectures, reduce complexity, and protect their AI deployments from the data center to the enterprise edge.”

Forward-looking statements were not present in the provided text.