ePrism User Guide - EdgeWave

Anti-Spam Features
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Each token is looked up in the database and a metric is retrieved. The token "Click" has a high
measure of 91, whereas the word "to" is neutral (indicating neither spam nor legitimate.)
These measures are aggregated using statistical methods to give the overall score for the message
of 98. Based on the resulting cumulative score, the message can then be rejected, quarantined,
annotated, or forwarded according to how the local threshold is set.
STA Considerations
Several factors can affect the accuracy of STA:
• Is STA seeing all local mail? — The more local or outbound mail that STA sees, the more
accurate it will be. It is recommended that ePrism should process all inbound and outbound
mail.
• "Trusted" and "Untrusted" mail must be properly identified — If STA treats a local
source of mail as "untrusted", it will not be used for training. Treating an external unknown
source of mail as "trusted" will exempt this mail from spam processing. Similarly, using
"untrusted" mail for training may insert spam into the STA database.
• Add your own definitions of "valid" or "spam" mail — Instead of simply creating a Pattern
Based Message Filtering rule that rejects mail, you can label it as "spam" which sends the
message to STA for training before rejecting it. Trusted external sources of mail can be labeled
as "trusted" which sends the message to STA for training before delivery. STA’s advanced
features allow you to upload your own lists of neutral words, spam, and legitimate mail.
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