Spam Sleuth Enterprise resides on your e-mail server and screens out spam before it reaches your server. Includes a Web and/or PC client application that allows users to configure spam settings and view all spam messages received. Email Stamps: Requires senders to pay a fee via PayPal before message will arrive in your inbox. Turing Test: Requires senders to enter a validation code before email will arrive in your inbox. Bayesian Analysis: Looks at previous e-mail to learn characteristics of spam.
-Eliminates Spam
-Removes dangerous executable attachments
-Very little configuration required
-Statisticatl reports provided.
Does not affect user's configurations. Your e-mail server stays the same whether it be a Linux server, SendMail , MS Exchange, SLMail, IMail, etc. Your user's won't need to make any changes. They'll just notice the lack of spam.
How does Spam Sleuth defeat spam?
Spam Sleuth uses a point system to eliminate spam. Spam Sleuth has analyzers, and each analyzer: Friends, Spammers,To, Goodwords, Badwords, Profanity, Subject, Attachments, Charsets, HTML Volume, etc. looks at an e- mail a different way and assigns points. The more points an e-mail message receives the more likely it is to be deemed as spam. The less points an e-mail message receives the more likely it is a real gem. Think of it as though it was a contest, and each Analyzer is a different judge, and the messages are the contestants, and Spam Sleuth is the scorekeeper. Every judge looks at the e-mail message and assigns points based on specific criteria. Then all of the points are added together to create an overall total. More points is bad, and less points is good. As the administrator you can make up a standard configuration that your employees can add/change depending on how much permission rights you give them.
Spam Sleuth Enterprise resides on your e-mail server and screens out spam before it reaches your e-mail server. The program includes a Web and/or PC client application that allows users to configure spam settings and view all spam messages received.
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