5. Anti-Spam

By now you've seen a few instances of the anti-spam features that are provided in InBoxHQ Helpdesk. InBoxHQ incorporates what is known as Bayesian Filtering. Rather than just blocking certain keywords and e-mail addresses themselves, Bayesian Filtering gives a probability rating to show whether or not an e-mail is considered spam. By "training" the system with keywords that are more innocent (e.g. your company name) or more spammy (e.g. viagra), the system learns what is good and bad for your system. So whether your company is the leading publisher of children's books, or a major distributor of Viagra, it is up to you to train the system. So even though one word may be considered spam to you, to another company it may not. After you have trained the system sufficiently, you can then set a mail rule to move or delete spam above a certain probability rating, with little fear that an actual e-mail will get moved accidentally.