Using FortiWeb AI to Detect Web Application Threats

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Using FortiWeb AI to Detect Web Application Threats

May 15, 2019 / 10:30 - 14:00 CEST

AI

Cybercriminals are increasingly targeting public and internal web applications. Today, nearly half of all data breaches are caused by attacks targeting web application vulnerabilities.

To protect organizations from such attacks, Web Application Firewalls (WAFs) are the gold standard.
However, some organizations may be reluctant to use these devices as they have a reputation for being very resource-intensive, especially when it comes to quickly addressing false positive detections in order to ensure that legitimate users and applications don’t get blocked.

FortiWeb, with its new AI-based Machine Learning capability, addresses these short comings by demonstrating why signature-based protection alone is not enough and why organizations require protection that goes beyond traditional Application Learning.

Attend this technical training workshop to gain hands-on experience using FortiWeb’s AI-based Machine Learning and understand exactly how it helps save IT security teams from the burden of having to manually review, tune and update WAF profiles.

 

More about the FortiWeb:
https://www.fortinet.com/products/web-application-firewall/fortiweb.html?utm_source=blog&utm_campaign=2018-q2-waf

Participation is free of charge but registration is mandatory since the number of participants is limited. Registration can be accepted in the order of application!

Register now!

The workshop is in Hungarian.

Date: May 15, 2019
Time: 10:30-14:00
Venue: RelNet’s training room
Address: Váci út 71., 1047 Budapest – The entrance is from Perényi Zsigmond Street
Parking:  Free parking in RelNet’s courtyard and on the surrounding streets

Related event:
June 19, 2019: Making Automation Easier with Web Services APIs

Details

Date:
May 15, 2019
Time:
10:30 - 14:00 CEST
Event Categories:
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Event Tags:
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Venue

Name:
RelNet conference room
Address:
1047 Budapest, Váci út 71. + Google Map
Phone:
+36 1 48 48 300
Website:
https://relnet.hu
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