AI SECURITY

ortinet has announced the new

FortiGuard Inline AI Security

Service, delivering AI-specific inspection and guardrails to FortiGate customers through a cloud-delivered service. Organisations gain deeper visibility into AI activity and can prevent AI threats and data exposure through the Fortinet solutions they already use. Ongoing innovation in FortiAIGate powers these capabilities with high-performance AI guardrails, expanded access and compliance controls, shadow AI and agent visibility, and technology from the recent acquisition of Virtue AI.

Fortinet’ s extensive FortiGate footprint gives organisations a simpler path to adopting advanced AI security through their existing infrastructure. Customers can enable the FortiGuard Inline AI Security Service without

Michael Xie, Founder, President, and Chief Technology Officer at Fortinet deploying and managing separate AI security infrastructure, making advanced AI security accessible to a broader range of organisations. Customers with more advanced security, privacy and sovereignty requirements can deploy FortiAIGate directly within their own environments for greater control over how and where AI traffic and data are processed.

“ Organisations need AI security that can scale with how quickly AI is being adopted across the enterprise,” said Michael Xie, Founder, President, and Chief Technology Officer at Fortinet.“ 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.”

With the FortiGuard Inline AI Security Service, FortiGate customers gain deeper visibility into AI activity and can prevent AI-specific threats and sensitive data exposure through their existing infrastructure. FortiAIGatebased 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 draws on existing Fortinet capabilities 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 requiring additional infrastructure to be deployed and managed.

As AI moves into production, LLMs and autonomous agents are gaining access to sensitive data, business applications and critical workflows. Traditional security tools inspect IP addresses, signatures and payloads, but they do not assess prompts and responses for potential threats. AI-specific threats can be hidden in prompts, model responses and MCP tool communications, potentially triggering harmful tool calls, API calls and autonomous agent actions.

FortiAIGate addresses these risks by providing a real-time control point between AI applications and models, analysing interactions and enforcing policies based on the model, application, user role and business context.

Across cloud-delivered and self-hosted deployment options, Fortinet provides organisations with a more unified approach to securing AI without introducing disconnected tools and additional operational complexity.

Together, FortiAIGate and the FortiGuard Inline AI Security Service connect AI inspection and runtime controls with Fortinet capabilities spanning network, application, cloud, data, identity and security operations.

Organisations gain a more consistent approach to managing AI risks across users, applications, models, agents and infrastructure while addressing performance, privacy, regulatory and sovereignty requirements.

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