Posted by Bangalore: Fortinet, a global cybersecurity provider has announced its new FortiGuard Inline AI security service, delivering AI-specific inspection and guardrails to FortiGate customers via a cloud-delivered service. The launch of new cloud-based AI security service comes in less three months span, after Fortinet acquired Virtue AI, an innovator in AI runtime protection, automated AI validation, and security for autonomous AI systems.
Virtue AI acquisition has enabled Fortinet to enhance its AI-Native Security Fabric with continuous agentic AI validation and runtime protection across the AI lifecycle. Existing customers of Fortinet solutions will have deeper visibility into AI activity and thwart AI threats and data exposure.
FortiAIGate powers these capabilities with high-performance AI guardrails, expanded access and compliance controls, shadow AI and agent visibility, and technology from Virtue AI.
Fortinet’s broad FortiGate footprint gives organisations a simpler path to adopt advanced AI security through the infrastructure they already use. Customers can enable the FortiGuard Inline AI Security Service without deploying and managing separate AI security infrastructure, making advanced AI security accessible to a broader set of organisations.
Customers with more advanced security, privacy, and sovereignty requirements can deploy FortiAIGate directly in their own environment for greater control over how and where AI traffic and data are processed.
“By extending advanced AI inspection and guardrails through FortiGate, we are making AI security available through the infrastructure customers already use. FortiAIGate provides the foundation for this broader strategy, giving customers flexibility in how they deploy and consume AI security based on their cost, performance, privacy, and sovereignty requirements,” said Michael Xie, Founder, President, and CTO – Fortinet
With the FortiGuard Inline AI Security Service, FortiGate customers gain deeper visibility into AI activity and stop AI-specific threats and sensitive data exposure through infrastructure they already use.
FortiAIGate-based guardrails inspect prompts and data in real time and enforce security, compliance, and data protection policies across interactions with agents, large language models (LLMs), and Model Context Protocol (MCP) tools.
The service goes beyond for discovering shadow AI usage and applying data loss prevention (DLP) policies to AI traffic. It extends protection beyond identifying AI use and sensitive data movement to inspecting the content of AI interactions and masking sensitive data without adding new infrastructure to deploy and manage.