General Questions
Junk e-mail Assistant
How are the Junk e-mail Filters
different from the spam filters in my
e-mail client?
About 95% --- that's how accurate your filters can be with the
Junk e-mail Assistant superior design. In addition, the mail
filters found in e-mail products have a number of limitations
and often assume a "one size fits all" solution. You are often
expected to develop your own filter rules from the limited
tools provided. Further, you must still download e-mail before
the mail client can filter it, possibly wasting time and
bandwidth while waiting to read mail, such as spam, that you
would not want anyway.
The Junk e-mail Assistant filters do all
e-mail processing behind the scenes before it arrives in your
inbox. This saves time and bandwidth by not forcing you to
download superfluous e-mail, such as unsolicited offers.
Moreover, improvements to the filters are done without
modifications to your e-mail client or account.
How do I know junk e-mail is being
filtered and not my regular (legitimate) e-mail?
Advanced filtering technique built on heuristic rules, lists
of approved and blocked senders, and databases of known junk
e-mail maintain the effectiveness of the rules system. Despite
these advanced measures, some good e-mail may get caught since
the concept of junk e-mail is subjective (one man's trash is
another man's treasure). To remedy this, you can set a
lenient-to-aggressive tolerance for filtering suspicious
e-mail: lenient filtering potentially lets more junk e-mail
through, but also minimizes the risk of legitimate e-mail from
getting mistakenly directed to the Message Center; conversely,
aggressive filtering catches more suspicious e-mail at the
risk of mistakenly diverting normal e-mail to the Message
Center. You are notified with regular summary reports of your
activity.
Does someone read personal e-mails?
No. All e-mail processing is done through automated filters,
in milliseconds. In the event a "suspicious" e-mail is
discovered, it will be directed to your private Message Center
pending your review. If you would like to pass on a suspicious
e-mail to abuse@bright.net for analysis.
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