Fortinet Introduces Machine Learning Capabilities to its FortiWeb Web Application Firewall for Advanced Behavioral Threat Detection

Two-step AI-based Machine Learning Improves Attack Detection Accuracy to Create a Nearly “Set and Forget” Web Application Firewall

“With a staggering 48 percent of data breaches being caused by hacking web application vulnerabilities, it’s clear that cybercriminals are increasingly targeting public and internal web applications. Current technologies such as intrusion prevention systems and existing web application security solutions only provide basic protection against these threats. Fortinet has combined our advanced AI-based machine learning capabilities with our FortiWeb WAF to protect web-based applications from attacks targeting known and unknown exploits with near 100 percent threat detection accuracy. It also benefits from automated management and seamless integration with the Fortinet Security Fabric.”

John Maddison, senior vice president of products and solutions, Fortinet

https://www.fortinet.com/fr/corporate/about-us/newsroom/press-releases/2018/fortinet-introduces-machine-learning-capabilities-to-its-fortiwe.html

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Fortinet Introduces Machine Learning Capabilities to its FortiWeb Web Application Firewall for Advanced Behavioral Threat Detection

Published June 07, 2018

Two-step AI-based Machine Learning Improves Attack Detection Accuracy to Create a Nearly “Set and Forget” Web Application Firewall “With a staggering 48 percent of data breaches being caused by hacking web application vulnerabilities, it’s clear that cybercriminals are increasingly targeting public and internal web applications. Current ...

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