Fortinet Expands AI Security with the FortiGuard Inline AI Security Service

FortiGate customers can enable the cloud-delivered service without deploying and managing separate AI security infrastructure.

Rhea-AI Summary

Fortinet (FTNT) announced the FortiGuard Inline AI Security Service, bringing cloud-delivered AI inspection and security controls to FortiGate customers.

The service uses FortiAIGate technology to inspect AI interactions and apply data protection policies without separate AI security infrastructure. FortiAIGate also incorporates technology from Fortinet’s recent acquisition of Virtue AI. Customers seeking greater control over data processing can deploy FortiAIGate in their own environments. Its expanded capabilities include sensitive-data detection, AI spending controls, compliance policies and visibility into AI agents.

Positive

• Minor pointThe completed Virtue AI acquisition adds technology incorporated into FortiAIGate.

Negative

• None.

Key Figures

Data types covered: 35 types Predefined policies: More than 50

Data types covered

35 types

Expanded DLP detection of personally identifiable information and confidential data

Predefined policies

More than 50

AI governance, privacy, industry regulations, and security frameworks

Previous AI Reports

1 past event · Latest: May 12

Same Type 1 event

1. May 12

   AI platform integration

   24h Move

   -1.4%

   FortiAIGate-NVIDIA integration added runtime guardrails and self-hosted AI sovereignty capabilities.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

data loss prevention, personally identifiable information, large language models, model context protocol

4 terms

data loss prevention technical

"applying data loss prevention (DLP) policies to AI traffic"

A set of tools, policies and practices designed to stop sensitive information from being lost, stolen or sent outside an organization without permission. Think of it like locks, alarms and rules for a house that keep valuables inside; for investors, effective data loss prevention reduces the risk of costly data breaches, regulatory fines and reputational damage that can hurt revenue, increase expenses and lower a company’s market value.

personally identifiable information technical

"detects 35 types of personally identifiable information (PII)"

Personally identifiable information (PII) is any data that can directly or indirectly identify a single person — for example: full name, home address, national ID numbers, phone or email, financial account details, or unique biometric data. Investors care because mishandling or loss of PII can trigger regulatory fines, costly cleanup and lost customer trust; think of a data breach like losing the keys to many customers’ homes, which can hurt a company’s finances and stock value.

large language models technical

"agents, large language models (LLMs), and Model Context Protocol (MCP) tools"

Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.

model context protocol technical

"large language models (LLMs), and Model Context Protocol (MCP) tools"

A model context protocol is a set of rules or guidelines that determine how a financial model interprets and applies information within a specific situation. It helps ensure consistent and accurate analysis by clarifying what data or assumptions are relevant in a given scenario. For investors, it provides clarity on how predictions or assessments are made, increasing confidence in decision-making.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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New cloud-delivered service brings advanced AI guardrails and inspection to FortiGate firewalls, backed by continued FortiAIGate innovation

SUNNYVALE, Calif., Oct. 26, 2026 (GLOBE NEWSWIRE) --

Fortinet^® (NASDAQ: FTNT), the global cybersecurity leader driving the convergence of networking and security, today announced the new FortiGuard Inline AI Security Service, delivering AI-specific inspection and guardrails to FortiGate customers through a cloud-delivered service. Organizations gain deeper visibility into AI activity and stop 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 broad FortiGate footprint gives organizations 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 organizations. 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.

“Organizations 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.”

Cloud-Delivered AI Security through Fortinet Infrastructure

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 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 adding new infrastructure to deploy and manage.

Context-Aware AI Security for Applications and Agents

With AI moving into production, LLMs and autonomous agents gain access to sensitive data, business applications, and critical workflows. Traditional security tools inspect IPs, signatures, and payloads, but they do not assess prompts and responses for potential threats. AI-specific threats hide in prompts, model responses, and MCP tool communications and can trigger 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, analyzing interactions, and enforcing policy in real time based on the model, application, user role, and business context. Organizations can:

• Stop AI attacks and data leaks in real time: Apply multilayered AI guardrails across prompts, model responses, MCP tool calls and responses, API activity, and agent actions. Dynamic inspection covers text, images, audio, video, and code, delivering industry-leading low latency and minimal false positives. Expanded DLP detects 35 types of personally identifiable information (PII) and confidential data, allowing organizations to alert, deny, or redact that sensitive information before exposure.
• Enforce usage policies and control AI spending: Set model permissions, budgets, spend limits, and rate limits by organization, workspace, project, or user. Administrators are alerted as spending nears a limit and requests are blocked once spending exceeds it. Malicious prompts and Denial-of-Wallet attacks are blocked before they consume tokens or GPU compute. Intelligent routing directs each request to the right model based on content, policy, and cost, with no application re-architecture.
• Govern AI across teams: Dedicated workspaces give teams and business units their own policies, models, logs, roles, and permissions under centralized visibility and control.
• Simplify compliance and auditability: Add more than 50 predefined policies with one click, spanning AI governance frameworks, data privacy laws, industry regulations, and security frameworks. Customize each policy, and give auditors detailed logs of every prompt, output, and tool call.
• Gain visibility into AI agents: See which agents are operating across the business and how they interact with enterprise applications, APIs, tools, data, and MCP servers.
• Maintain data sovereignty and deployment flexibility: Self-host FortiAIGate on-premises or in your cloud, on Kubernetes with NVIDIA GPUs. Prompts, responses, data, and logs stay inside your environment.

Reducing AI Security Complexity for Enterprises

Across cloud-delivered and self-hosted deployment options, Fortinet gives organizations a more unified approach to securing AI without adding disconnected tools and operational complexity.

“FortiAIGate takes an elegant approach to a complex problem,” said Will Townsend, Chief Analyst at LoneStar Advisory & Research. “Rather than asking customers to manage separate tools for AI security, governance, cost, and agent visibility, Fortinet is bringing these capabilities together in a single gateway. The rapid integration of Virtue AI technology further strengthens that story by improving the guardrails and performance customers need as they move AI into production.”

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. Organizations gain a more consistent approach to managing AI risk across users, applications, models, agents, and infrastructure while meeting performance, privacy, regulatory, and sovereignty requirements.

Additional Resources

• Read more about FortiAIGate.
• Download the FortiAIGate solution brief.
• Read about the Fortinet AI-Native Security Fabric.
• Learn about the Fortinet Open Ecosystem.
• Visit fortinet.com/trust to learn about Fortinet innovation, collaboration partners, product security processes, and enterprise-grade products.
• Read about how Fortinet customers are securing their organizations.
• Learn about Fortinet’s commitment to product security and integrity, including its responsible product development and vulnerability disclosure approach and policies.
• Follow Fortinet on X, LinkedIn, Facebook, and Instagram. Subscribe to Fortinet on our blog or YouTube.

Fortinet (Nasdaq: FTNT) is a driving force in the evolution of cybersecurity and the convergence of networking and security. Our mission is to secure people, devices and data everywhere, and today we deliver cybersecurity everywhere our customers need it with the largest integrated portfolio of over 50 enterprise-grade products. Well over half a Over one million lifetime customers trust Fortinet’s solutions, which are among the most deployed, most patented and most validated in the industry. The Fortinet Training Institute, one of the largest and broadest training programs in the industry, is dedicated to making cybersecurity training and new career opportunities available to everyone. Collaboration with esteemed organizations from both the public and private sectors, including Computer Emergency Response Teams (“CERTs”), government entities, and academia, is a fundamental aspect of Fortinet’s commitment to enhance cyber resilience globally. FortiGuard Labs, Fortinet’s elite threat intelligence and research organization, develops and utilizes leading-edge machine learning and AI technologies to provide customers with timely and consistently top-rated protection and actionable threat intelligence. Learn more at https://www.fortinet.com, the Fortinet Blog or FortiGuard Labs.

Copyright © 2026 Fortinet, Inc. All rights reserved. The symbols ® and ™ denote respectively federally registered trademarks and common law trademarks of Fortinet, Inc., its subsidiaries and affiliates. Fortinet’s trademarks include, but are not limited to, the following: Fortinet, the Fortinet logo, FortiGate, FortiOS, FortiGuard, FortiCare, FortiAnalyzer, FortiManager, FortiASIC, FortiClient, FortiCloud, FortiCore, FortiMail, FortiSandbox, FortiADC, FortiAgent, FortiAI, FortiAIOps, FortiAntenna, FortiAP, FortiAPCam, FortiAppSec, FortiAuthenticator, FortiBranchSASE, FortiCall, FortiCam, FortiCamera, FortiCarrier, FortiCART, FortiCASB, FortiCentral, FortiConnect, FortiController, FortiConverter, FortiDAST, FortiDATA, FortiDB, FortiDevice, FortiDDoS, FortiDeceptor, FortiDeploy, FortiDevice, FortiDevSec, FortiDLP, FortiEdge, FortiEDR, FortiEndpoint, FortiExplorer, FortiExtender, FortiFirewall, FortiFlex, FortiFone, FortiGSLB, FortiGuest, FortiHSM, FortiHypervisor, FortiIdentity, FortiInsight, FortiIsolator, FortiLink, FortiMonitor, FortiNAC, FortiNDR, FortiPAM, FortiPhish, FortiPoint, FortiPoints, FortiPortal, FortiPresence, FortiProxy, FortiRecon, FortiRecorder, FortiSASE, FortiSAT, FortiSEC, FortiSIEM, FortiSMS, FortiSOAR, FortiSOC, FortiSRA, FortiSwitch, FortiTelemetry, FortiTester, FortiTIP, FortiToken, FortiTrust, FortiVoice, FortiWAN, FortiWeb, FortiWiFi, FortiWLC, FortiWLM, FortiXDR, Lacework FortiCNAPP, Linksys, Intelligent Mesh, Velop, Max-Stream, Performance Perfected and SECURITY FABRIC.

Other trademarks belong to their respective owners. Fortinet has not independently verified statements or certifications herein attributed to third parties and Fortinet does not independently endorse such statements. Notwithstanding anything to the contrary herein, nothing herein constitutes a warranty, guarantee, contract, binding specification or other binding commitment by Fortinet or any indication of intent related to a binding commitment, and performance and other specification information herein may be unique to certain environments.

Media Contact:	Investor Contact:	Analyst Contact:
Travis Anderson Fortinet, Inc. 408-235-7700 pr@fortinet.com	Anthony Luscri Fortinet, Inc. 408-235-7700 investors@fortinet.com	Sarah Goodwin Fortinet, Inc. 408-832-1428 sgoodwin@fortinet.com

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What is Fortinet’s FortiGuard Inline AI Security Service?

The FortiGuard Inline AI Security Service provides cloud-delivered AI inspection and security controls to FortiGate customers. It uses FortiAIGate-based controls to inspect AI interactions and enforce security, compliance and data protection policies without requiring separate AI security infrastructure.

Where can customers self-host Fortinet’s FortiAIGate?

Customers can self-host FortiAIGate on-premises or in their own cloud, on Kubernetes with NVIDIA GPUs. In this deployment, prompts, responses, data and logs stay inside the customer’s environment.