Fortinet presented FortiGuard Artificial Intelligence (AI)

FortiGuard Artificial Intelligence (AI) is the work of the FortiGuard Labs laboratory. It has a team of 215 qualified analysts and engineers from 31 countries. Their main task is to use modern technologies to analyze data on threats from more than three million safety sensors. According to predictions, defense against automated cyber attacks will require greater speed and scale of operation.

The use of artificial intelligence and automation to carry out advanced attacks is a trend which in 2018 will gain in popularity. Its consequence will be a technology race to create solutions that will work faster and on the largest scale.

Work on FortiGuard AI has been going on for over five years. The system analyzes millions of samples every week. They are processed in more than five billion knots identifying the characteristic harmful and non-threatening features of each sample. FortiGuard AI then proactively determines whether it is safe. It also generates threat data that updates defense signatures throughout the Fortinet Security Fabric architecture.

FortiGuard AI is a self-learning threat detection system that uses machine learning. He can autonomously collect information on threats and analyze and classify them. This is done with great accuracy, so that analysts and network operators can focus on researching significant problems - says Jolanta Malak, regional director of Fortinet.

FortiGuard Artificial Intelligence

In addition to the FortiGuard Artificial Intelligence system, Fortinet presented the FortiGuard Threat Intelligence Service (TIS) update and new behavior analysis functions in the FortiSIEM solution:

  • FortiGuard TIS : The FortiGuard TIS service is available as a corporate service that provides cloud-based threat analysis indicators and enterprise-specific data about them. Thanks to the FortiGuard TIS service, security specialists immediately receive knowledge about what is happening in the global threat environment.
  • FortiSIEM : Fortinet uses machine learning to extend advanced threat detection with new UEBA functions (User and Entity Behavioral Analysis) in the FortiSIEM 5.0 solution. Its task is to recognize patterns of typical user behavior, such as location or time of day when they connect to servers and other devices. The solution can then automatically notify about the occurrence of anomalies, such as: simultaneous logging in from different locations, an attempt to access company data in the middle of the night or a large number of logins for rarely used servers.

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