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InfoWorld Anti-Spam Rant Catches Attention of Vendors

September 17, 2007

Martin Heller of InfoWorld recently posted a rant pontificating on his frustrations with spam. As a result, a number of players in the anti-spam market responded with some offers to resolve his issues.

  • MailFoundry offered to deploy filtering hardware they claimed would never result in a false-positive.

  • Someone by the name of Ronald responded claiming he had developed a filter that can detect botnet's network signatures. The resulting tool can apparently filter all except one or two unwanted e-mails each month. Assuming one hundred spam messages sent per day - that would be an effectiveness rate of over 99.99%.

  • RR Software claimed to have developed a server-side application that uses multiple methods to eliminate all but about 3 spam messages a week. On the downside, it also results in about 40 false kills in the same period of time.

    • Now, as someone who's been fighting this problem for about 5 years - I have to express some skepticism about the above claims. However, Without more in-depth knowledge of the products, it's hard for me to disclaim them offhand.

    I did a little initial research into what MailFoundry is up to. They claim to be using human-edited definition files based on actual spam to get a false-positive rate of less than 1 in 1 million.

    SpamButcher also uses this technique to stop spam e-mail, but I won't pretend we get a false-positive rate quite that low. If they're really getting a virtually-zero false positive rate - they must only be filtering highly-unique phrases that only occur in spam. This makes me wonder how effective the product is at actually deleting the stuff it's supposed to. A low false positive rate isn't worth it if the product's performance is poor.

    I'm not even sure how to parse the claims surrounding Ronald's filter. If he's really getting 99.99% effectiveness, he must be doing something in addition to just identifying botnet networks. A lot of spam is sent by botnets - but certainly not all of it.

    RR Software's filter sounds the most plausible, but I'm not sure how to evaluate the claim. Three missed messages a week would still probably be catching more than 99.7% of all messages. But if there were forty false-positives, how many e-mails were there total?

    I don't want to accuse anyone of anything, but I think there are a lot of questionable claims made throughout the commercial world. The only way to find out if these products really work would be to evaluate them with your own e-mail environment.

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