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Barracuda launches advanced Bot Protection

<p><a href="https://www.barracuda.com/" target="_blank"><span style="color:#0000ff">Security solutions provider Barracuda</span></a> Monday launched <a href="https://www.barracuda.com/news/article/782?utm_source=blog&amp;utm_medium=35615#.XOuTuBYzaUk" target="_blank"><span style="color:#0000ff">advanced Bot Protection</span></a> that uses artificial intelligence and machine learning to help customers defend against the latest automated threats.&nbsp;</p>

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Barracuda launches advanced Bot Protection
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Security solutions provider Barracuda Monday launched advanced Bot Protection that uses artificial intelligence and machine learning to help customers defend against the latest automated threats. 

 

It is available for both the Barracuda WAF-as-a-Service and Web Application Firewall platforms.

 

“In order to effectively protect their organizations against today’s evolving threats, customers need sophisticated bot mitigation capabilities,” said Tim Jefferson, SVP of Data Protection, Network and Application Security, Barracuda. “Traditional web application firewalls don’t all provide advanced bot protection, and some bot mitigation vendors only offer point solutions that aren’t integrated into WAFs. Advanced Bot Protection is fully integrated into Barracuda’s web application firewalls to provide a complete application security solution that is easy to deploy and manage.”

 

With Advanced Bot Protection, Barracuda WAF customers have access to functionality that includes:

 

* Bot spam detection - Reduce referrer spam and block comment spam

* Credential stuffing prevention - Block credential stuffing to stop account takeover attacks

* Request risk scoring - Track incoming requests and use advanced behavioral analytics to detect attackers

* Client finger printing - Track users with better fidelity than IP addresses

* Dedicated bot mitigation UI - New user interface makes it easy to configure bot mitigation features

 

As per Gartner the main types of bot attacks include distributed denial of service (DDoS), fraudulent purchases, web scraping, and vulnerability scans and exploits. Unsupervised ML can be used to learn the characteristics of typical human-driven traffic, allowing the detection of bots as anomalies. Supervised ML can be used to identify features related to automated behavior. 

 

Barracuda says enterprises can protect themselves from these type of attacks using its advanced bot protection solutions.