Fortinet extends FortiGate firewalls into AI security with FortiGuard Inline AI Service
Fortinet Inc. has launched the FortiGuard Inline AI Security Service, turning its FortiGate firewalls into a gateway for securing AI interactions. The service inspects prompts, agents, and outputs in real time, masks sensitive data, and includes compliance logging and cost controls. Updates to FortiAIGate, the underlying gateway, now support Kubernetes deployments with Nvidia GPUs for privacy-sensitive use cases.
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30 SEC SUMMARY
- Fortinet Inc. launched the FortiGuard Inline AI Security Service, extending its FortiGate firewalls into AI security.
- The service includes real-time inspection of AI prompts, agents, and tools, with data masking and compliance logging.
- FortiAIGate, the gateway for AI model interactions, now supports Kubernetes with Nvidia GPUs for privacy-sensitive deployments.
- New features block costly prompts, route requests based on policy, and detect 35 types of sensitive information.
TABLE OF CONTENTS
KEY HIGHLIGHTS
- Fortinet launched the FortiGuard Inline AI Security Service, integrating AI security into FortiGate firewalls.
- FortiAIGate, the gateway for AI model interactions, now inspects prompts, agents, and outputs in real time, masking sensitive data.
- Organizations can deploy FortiAIGate on Kubernetes with Nvidia GPUs for privacy-sensitive or sovereign AI use cases.
- The service includes over 50 built-in compliance policies and logs all interactions for auditors.
- FortiAIGate blocks prompts designed to inflate compute costs and routes requests based on content, policy, and cost.
FortiGate firewalls expand into AI security
Fortinet Inc. has extended its FortiGate firewalls into AI security with the FortiGuard Inline AI Security Service. The service adds real-time inspection of prompts, agents, and Model Context Protocol tools, masking sensitive data as it passes through. According to SiliconANGLE, the update builds on FortiGate’s existing capabilities, which already detect shadow AI use and apply data loss prevention rules to AI traffic.
FortiAIGate as the AI interaction gateway
The new service is powered by FortiAIGate, a gateway that sits between applications and AI models. FortiAIGate inspects images, video, code, and text, and its data loss prevention engine detects 35 types of personal and confidential information. Michael Xie, Fortinet’s founder and president, described FortiAIGate as the foundation of the company’s broader AI security strategy.
FortiAIGate also introduces cost controls, blocking prompts designed to run up compute bills and capping spending per team or user. Requests are routed based on content, policy, and cost, addressing both security and operational efficiency.
Compliance, logging, and deployment flexibility
FortiAIGate includes over 50 built-in compliance policies, which can be enabled with a single click, and logs every prompt, output, and tool call for auditors. The gateway can be hosted on Kubernetes with Nvidia GPUs, offering organizations stricter privacy or sovereignty options for their AI workloads.
The updates follow Fortinet’s August acquisition of AI security startup Virtue AI Inc., whose technology has already been integrated into FortiAIGate’s guardrails. Will Townsend, chief analyst at LoneStar Advisory & Research, noted that the acquisition improved both performance and security guardrails.
How this fits into enterprise AI adoption
Last month, ServiceNow introduced AI Passport, a cryptographically signed credential for managing AI agent permissions, alongside updates to its EmployeeWorks portal. These tools target similar enterprise challenges: governance, cost tracking, and productivity. Fortinet’s approach, however, leverages existing firewall infrastructure, making it a lower-friction option for teams already using FortiGate.
Dell Technologies recently expanded its AI Data Platform with features like a Unified Semantic Layer and Knowledge Agents, focusing on reducing data movement and improving context for AI-driven decisions. Unlike Dell’s data-centric approach, Fortinet’s solution operates at the network layer, inspecting interactions between applications and AI models.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
Fortinet’s move signals how network security incumbents are recasting firewalls as AI guardians rather than just perimeter defenders. For founders and operators, this is a template for layering AI-specific controls on existing infrastructure without forcing rip-and-replace. The Kubernetes option is particularly relevant for teams already running AI workloads on-premises or in hybrid clouds, as it lets them enforce policies at the gateway rather than inside every model or application. The cost-capping feature also addresses a pain point we’ve heard from AI operators: unpredictable spending on third-party models.
Key takeaways
- FortiGate firewalls now inspect AI prompts, agents, and outputs in real time, making them a drop-in security layer for enterprise AI adoption.
- FortiAIGate’s Kubernetes support with Nvidia GPUs offers a path to stricter sovereignty or privacy without re-architecting AI applications.
- Built-in compliance policies and spending caps reduce operational friction for teams managing AI governance and budgets.
- The acquisition of Virtue AI Inc. accelerated Fortinet’s feature set, showing how startups can fast-track product development through strategic M&A.
Related on Lazyfounder
Sources
- SiliconANGLE · 2026-10-26
Fortinet extends FortiGate firewalls into AI security and adds new FortiAIGate features
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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