ENA received a significant number of requests to create a method to reduce the amount of spam received by our user base. We listened to your requests and have been working diligently over the past several months to create an effective, extremely reliable solution. We are excited about the results we have seen from this new offering and are enthusiastic to implement our new spam solution. ENA's new spam solution will be implemented across the Ten-Nash user base on Tuesday, November 4th. Users will not be required to take any action in order to receive the enhanced spam solution, the solution will be automatically implemented for each Ten-Nash account.

The look and feel of the new solution will be very similar at first to the current antivirus/antispam solution:

1) Emails that come from known spam sources will be automatically rejected.
2) Emails that contain viruses or dangerous attachments (.exe, .bat, .com, .pif, etc.) will be automatically dropped.
3) Emails that are obviously spam are dropped.
4) Emails that have an extremely high probability of being spam are labeled as such and delivered to the user.

However, we are employing a number of new technologies that should make this architecture much more useful:
A) We have completely revamped the static content and header analysis rules, so that we hope to eliminate false positives.

B) Each email is not only checked against a database of known spammer IP addresses, and through the content rules, but also through a database of spam continuously collected by over 500,000 email users worldwide.

C) We've created a self-learning system. Anytime you receive an email that is not labeled as spam, or blocked, but should be, you can now simply send that email to spam@k12tn.net. We've created a program that automatically converts these emails into a Bayesian Filter, so that within an hour, all new emails passing through the system can be measured against the emails reported by users.

D) In the same light, if you ever receive an email that is labeled as spam, but shouldn't be, you can send that email to notspam@k12tn.net.

E) All emails that are labeled as spam, but sent on to the user, will be sent on in plain text only. (not html). This prevents pornographers and other spammers from embedding images in emails sent to users. This feature is only turned on if the email is considered spam by the system.

What we hope to accomplish with this new system is a reliable, self-learning solution that accurately blocks or labels at least 75% of all spam, while keeping falsely identified spam to an absolute minimum. ENA is excited about this solution and believes you will see a significant improvement in the amount of spam received. We are constantly striving to deliver excellent product and service solutions requested by our customers. Please continue to send us your suggestions and comments, we do listen. If you have any questions please contact our Network Support Center at (888) 612-2880.