Overview
FortiGuard AI-Powered Security Services integrate with security solutions across Fortinet's broad portfolio to provide market-leading security capabilities that protect applications, content, web traffic, devices, and users located anywhere. Go to the FortiGate Bundles page to learn more about purchasing the AI-Powered Security Services.
Top-rated, Integrated Protection
Our experts develop and utilize leading-edge machine learning (ML) and artificial intelligence (AI) technologies to provide timely and consistently top-rated protection and actionable threat intelligence. This enables IT and security teams to better secure their organizations.
FortiGuard Labs is the driving force behind FortiGuard AI-powered Security Services. The services counter threats in real time with ML-powered, coordinated protection. They are natively integrated into the Fortinet Security Fabric, enabling fast detection and enforcement across the entire attack surface.
FortiGuard Services Portfolio
Application Security
FortiGuard application security services protect, monitor, and optimize application performance and usage.
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Applied Intelligence and Security Expertise
FortiGuard Labs applies deep visibility, insights, and expertise to the development and ongoing enhancement of FortiGuard AI-powered Security Services, a robust set of best-of-breed security capabilities integrated into Fortinet solutions.
Accelerated, Coordinated Protection
FortiGuard AI-powered Security Services enable faster, coordinated prevention, detection, and response in real time across organizations’ broader security infrastructure.
Real-Time Threat Intelligence
FortiGuard services are constantly updated with the latest threat intelligence based on: research by FortiGuard Labs experts, global visibility into the threat landscape, telemetry from across Fortinet’s broad sensor base, and zero-day discoveries. This delivers heightened efficacy against even the most complex cyberthreats.
Proven ML and AI
FortiGuard services apply a unique combination of local learning and static analysis to identify anomalies. This is locally augmented by rapid intelligence based on AI and ML-models on large-scale cloud-driven data lakes.
