This solution brief explains how FortiGuard AI uses artificial intelligence, machine learning, and deep learning to detect malware, malicious URLs, and zero-day threats at machine speed. Its artificial neural network applies supervised, unsupervised, and reinforcement learning to continually refine detection using new threat data. A multilayer architecture analyzes files for malicious and clean characteristics, assigns weighted probability scores, and produces a binary verdict. FortiGuard AI also uses global sensors, behavior analytics, proprietary unpackers, domain reputation, and automated signature creation. When a threat is identified, intelligence and defensive updates are distributed across the Fortinet Security Fabric, including FortiWeb, without manual analyst intervention. This in

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