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FortiAI, a first-of-its-kind on-premises appliance, accelerates threat remediation and leverages deep learning to effectively transform threat protection.
Fortinet started developing various Machine Learning (ML) models in the early 2010’s to study the millions of samples they collected every day, long before putting the first ML solution into production. This solution applied ML-assisted intelligence towards detecting and blocking malware families as part of the antimalware engine found in several Fortinet products, including our flagship FortiGate firewall. Several critical milestones after this initial offering include applying in-line ML to various Fortinet technology and products, including Web Application Firewall (FortiWeb), Sandbox (FortiSandbox), UEBA (FortiInsight) and EDR (FortiEDR).
With continued investment into AI, Fortinet expanded to Deep Learning models, developing a sophisticated AI that emulates the neurons found in a human brain, known as an Artificial Neural Network. After many years of training and refining, Fortinet has now developed a self-learning Deep Neural Networks (DNN) based solution named FortiAI: Virtual Security Analyst. FortiAI is aimed at alleviating the tedious work of studying malware characteristics to identify and classify them into threat categories, and furthermore, pin-point patient zero and other subsequent infected systems in sub-seconds. It functions just like a cyber Security Analyst, but multiplied by 10.
