Fortinet Unveils FortiGuard AI for Automated Threat Analysis - TeknoGadyet
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Wednesday, May 16, 2018

Fortinet Unveils FortiGuard AI for Automated Threat Analysis

Fortinet, a company that develops cybersecurity software, announces FortiGuard AI for intelligent threat analysis. It is built into Fortinet's threat intelligence services platform and provides automated detection. It also ensures that Customer Security Fabric solutions are constantly updated with the information needed to protect against the latest threats.

Fortinet Unveils FortiGuard AI for Automated Threat Analysis
Fortinet Unveils FortiGuard AI for Automated Threat Analysis

As such, Fortinet FortiGuard AI is a threat detection system that uses machine learning and a continuous learning process for the independent collection, analysis, and categorization of threat information. This is done with a high degree of accuracy and the speed of the machines. It is also integrated with Fortinet's threat intelligence services platform to reinforce the detection capabilities of all FortiGuard services within the Security Fabric.

“Increasingly, cybercriminals and adversarial nations leverage automated and polymorphic techniques to increase the speed and scale of their malicious activity, while evading detection by creating hundreds of zero-day variants and resulting in overwhelmed defenders. Enterprises need a way to address such techniques and increase the attackers’ costs while reducing their own operating expenses. Fortinet Labs’ five-year investment in automated analysis and detection of polymorphic threats, has resulted in FortiGuard AI, a giant leap towards achieving that goal. FortiGuard AI analyzes and identifies threats with speed, agility, and accuracy to provide proactive threat detection at machine speed and scale. This frees threat analysts and network operators to focus on critical threat research and higher-order problems, reduces exposure to zero-day attacks, and minimizes the risk to Fortinet customers while increasing the attacker’s costs." said Phil Quade, chief information security officer at Fortinet.

The automated threats have been used increasingly by cybercriminals for overloading defense mechanisms. The use of artificial intelligence and automation for cyber attacks is also expected to increase further in 2018 and the years thereafter. This gives the impetus to a cyber weapon race: security solutions have to operate at an ever-increasing speed that might change in the future and on an ever-larger scale.

See Also: Fortinet’s Fortigate IPS 3000D, IPS 7060E Receive Recommended Rating in NSS Labs Test Report

215 researchers, analysts, and technicians are currently active at FortiGuard Labs, in over 31 countries. They use cutting-edge technology to analyze threat information collected through a global network of more than three million security sensors. In view of the expected increase in the speed and scale of cyber attacks, FortiGuard engineers have developed an automated system based on machine learning that is able to process the enormous amount of threat information quickly and accurately to identify new threats.

FortiGuard AI has been trained under the supervision of experts for five years on the basis of special learning techniques. The system analyzes millions of malware fragments every week. These are processed by more than five billion nodes that identify the unique malicious functions of each fragment. It uses advanced algorithms to proactively determine whether a fragment represents a threat or not. It then generates threat information for updating the malware signatures used by the Fortinet Security Fabric.

“Helping our mutual channel partners stay one step ahead of the constantly evolving cybersecurity market is a commitment Fortinet and Ingram Micro share. We’ve collaborated closely to deliver advanced security solutions for those partners, pairing offerings such as FortiGuard AI with our expertise throughout the security sales cycle. Our objective is to provide channel partners with the technology, services, and support they need to serve as trusted security advisors in today’s increasingly hostile threat landscape.” said Eric Kohl, vice president, advanced solutions & networking, Ingram Micro.

The speed, scalability and accuracy of FortiGuard AI further strengthen Fortinet 's threat intelligence services. They bring real-time updates and proactive threat protection to the Fortinet Security Fabric.

Fortinet also announces improvements to the FortiGuard Threat Intelligence Service (TIS) and new behavioral analysis functionality in FortiSIEM:

FortiGuard TIS: This solution was launched in 2017 as a beta and is now available as a business service. FortiGuard TIS delivers threat information and trend data from the cloud that are relevant to the specific threat landscape of each organization. This gives Chief Information Security Officers insight into the global threat landscape at a glance, so that they can prioritize their security activities and optimize the security rules for their infrastructure.

“New zero-day threats like WannaCry have resulted in rapidly spreading outbreaks that give little time for organizations to react and today’s threat landscape is evolving faster than many organizations can keep up with. The security of our patients’ data is paramount and the new release of FortiGuard’s threat intelligence services will ensure that our security solutions are automatically updated to defend against the latest breaking threats. We are looking forward to utilizing FortiGuard AI to increase our confidence in being able to detect and secure our data against a dynamic threat landscape at increasing speed and scale.” told Tom Stafford, Chief Information Officer, Halifax Health.

User & Entity Behavior Analysis (UEBA) capabilities in FortiSIEM: Fortinet uses machine learning algorithms to extend its advanced detection capabilities with new UEBA functions in FortiSIEM 5.0. This technology learns to recognize the normal behavior of end users, such as the location, the time, the devices used and the specific servers to which they are seeking access. FortiSIEM automatically informs security teams about deviating patterns, such as simultaneous registrations from different locations, users requesting business data in the middle of the night or a large number of registrations with servers that are rarely used.

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