Fortinet FortiAI 3500F
Ensuring availability of network resources

Highlights:

The State of the Art - Artificial Neural Network (ANN)

• The state of the art ANN is pre-trained in FortiGuard labs with 20mil+ clean and malicious files, and further learning is done on premise. Updates of ANN model is available from FortiGuard network to ensure customers are protected against the latest threats. Responsible for classifying malware type into 20+ attack scenarios, and AI-based engine for tracing source of attacks, emulating how a human brain operates
• AI-driven breach protection with multi-task threat learning framework to incorporate complex security needs into a single high-performance network security appliance
• Using Machine Learning and Neural Network technology, the Multilayer Detection approach provides deep machine learning capabilities before post infection damages are caused by the modern day AI-powered cyber attacks
• Pre-trained in FortiGuard labs with millions of known clean and malicious samples forming billions of clean and malicious features, which is used to scientifically decide malware and attack type specific to your organizations' security environment

Virtual Security Analyst

FortiAI Engine is responsible for:

• Attack Classification (including and not limited to): Ransomware, Worm Activity. Data Leak, Exploit, Banking Trojan, Sophisticated, Scenario Heuristic, Cryptojacking, Backdoor, Botnet, Dos, Application, Web Shell, Search Engine Poisoning, Generic Trojan, Rootkit
• Investigation of Source of Attack - tracking the original source of infection with timestamp
• Personal Malware Analyst - scientifically determine the type of malware based on Neural Networks to drive the FortiAI Engine organically as per your learning experience

PRODUCT FEATURES

• File type support: 32bit and 64bit executable file, applies to all the Portable Executables (PE) files. Any text based file, such as HTML,VBA,VBS, JS, PDF, BAT, SH, PHP, XML, power shell scripts, office documents, PDFs are also supported.
• Advance Malware analysis using ANN (Artificial Neural Networks)
• Pre-trained features (in billions) to identify Zero-day malware
• Attack Scenario, Host Story Mode, Threat Investigation View
• Log and Report - MD5/SHA hashes of malware, source/destination/timestamp/URL analysis.
• No additional sensors required, standalone deployment
• Comes with Operating Mode: Standalone (sniffer) and/or Integrated with FortiGates
• Protocol Supported: Standalone/Sniffer mode protocol support: HTTP, SMBv2, Integrated mode with FortiGate: HTTP, SMTP, POP3, IMAP, MAPI, FTP, IM, and their equivalent
• Networking: Static route support, IPv4 support, Systems: Role based Administration Support (RBAC)

Specifications:

Documentation:

Download the Fortinet FortiAI Series Datasheet (PDF).