Fortinet integrates AI for speedy and proactive threat detection

|March 13, 2018 0
Image courtesy of Renjith Krishnan at

BANGALORE, INDIA: Fortinet announced FortiGuard AI -a self-evolving threat detection system that uses machine learning and continuous training to autonomously collect, analyze, and classify threats with a high degree of accuracy and at machine speed.

FortiGuard AI is integrated into Fortinet’s threat intelligence services platform.

Fortinet’s FortiGuard Labs consists of 215 expert researchers, analysts, and engineers in 31 countries leveraging cutting-edge technology to analyze threat data from a global network of more than three million security sensors. Predicting the increases in speed and scale needed to defend against automated cyberattacks, FortiGuard engineers started building an automated machine learning system capable of rapidly and accurately processing its massive volume of threat data to identify new threats.


Under constant development and trained using supervised learning techniques for over five years, FortiGuard AI analyzes millions of threat samples per week. The samples are processed by over five billion processing nodes which identify the unique malicious and clean features of each sample. Using advanced algorithms, FortiGuard AI proactively determines if a new sample poses a threat and generates threat intelligence that updates defensive signatures across the entire Fortinet Security Fabric.

Besides FortiGuard AI, Fortinet is also announcing updates to the FortiGuard Threat Intelligence Service (TIS) and the addition of new behavior analysis capabilities for FortiSIEM:

FortiGuard TIS: Launched as a beta in 2017, FortiGuard TIS is now available as an enterprise service that delivers cloud-based threat intelligence metrics and activity trends specific to an organization’s unique threat landscape. FortiGuard TIS enables CISOs to instantly understand what is happening across the global threat landscape to prioritize resources and fine-tune security policies for their infrastructure.

FortiSIEM User and Entity Behavior Analysis (UEBA): Fortinet is also leveraging machine learning to enhance its advanced detection with new UEBA features in FortiSIEM version 5.0, which learns patterns in typical user behavior like location, time of day, devices used, and specific servers accessed. FortiSIEM can then automatically notify security operations teams when anomalous activity like concurrent logins from separate locations, users accessing corporate data in the middle of the night, and excessive logins to rarely used servers occur.

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