![]() ![]() This filter is part of the Anti-Spam Engine (ASE) chain as shown in the illustration. This is because the filter learns from both inbound as well as outbound email traffic. Note: Bayesian Analysis should be enabled even for deployments where MailEssentials is not configured to scan outbound emails. GFI recommends operating MailEssentials for at least one week for the Bayesian filter to achieve its optimal performance as it acquires its highest detection rate once it adapts to an organization’s email patterns. It is disabled by default as it is highly recommended that administrators “train” the Bayesian filter beforeĮnabling it. It is an anti-spam adaptive technique based on artificial intelligence algorithms, hardened to withstand the widest range of spamming techniques available today. ![]() Introductionīayesian Analysis is a powerful feature in MailEssentials that is part of the Anti-Spam Engine (ASE) chain. In addition, the article describes the filtering process that goes on before the Bayesian Analysis filter flags an Email as spam. The Bayesian Analysis anti-spam filter can be trained to accurately determine if an email is spam based on past experience with both inbound as well as outbound emails. This is a reference article that provides an overview of Bayesian filtering and how MailEssentials employs Bayesian filtering to stay ahead of email spammers.
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