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Machine Learning Stops Web Application Threats while Reducing False Positives

Cybercriminals are increasingly targeting public and internal web applications. Nearly half of all data breaches are caused by attacks targeting web application vulnerabilities. Web Application Firewalls (WAFs) are the gold standard to protect your organization from such attacks. Traditional WAFs rely solely on an observational method for threat detection called application learning. New machine learning (ML) technology leverages probability to identify threats rather than running exacting matches against observed activities. FortiWeb includes a variety of specific threat models, each designed for a specific attack category.”]

Source: https://www.csoonline.com/article/3278550/machine-learning-stops-web-application-threats-while-reducing-false-positives.html

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