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Barracuda Email Gateway Defense
formerly Email Security

Machine Learning

  • Last updated on

This article refers to capabilities that will be gradually rolled out to customers Q2 2024 through Q3 2024.

Machine learning models can recognize and filter out unwanted messages by continuously learning and adapting to new spam tactics, minimizing the chance of falling victim to phishing or scams. In Email Gateway Defense, the use of machine learning algorithms can help identify and block malicious emails before they reach your inbox, enhancing your email security and further protecting your organization from evolving email threats. 

Email Gateway Defense uses machine learning algorithms by default. Emails blocked by machine learning will include the threat type in the Message Log details. Click on a message in the table and its Action and Reason displays. Use the Reason dropdown filter to find additional threat types by selecting a threat type such as Spam or Extortion. For more information on how to use the Message Log, see Understanding the Message Log.

To find all messages blocked by machine learning, run a keyword search in the Message Log, for example, reason_extra:machine. This will result in all messages tagged with "machine learning".


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Use the Inbound Settings > Machine Learning page to exempt specific email addresses or domains from machine learning threat detection. 

Note that if you are using one of the Email Protection Plans or have a stand alone Impersonation Protection product, you will also need to make a sender exemption for those specific email addresses or domains. See How to Allow Senders for more information.

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