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David Ferris will be at TechEd on Tuesday and Wednesday, May 12/23. If you'd like to meet up, please contact him at email@example.com or 415 867 7677 (cell).
Abaca's Radical Anti-Spam Tech Wins at Yahoo
At the RSA Conference, we were almost blinded by the huge grins on the faces of the Abaca reps.
As you may recall, Abaca has a really interesting spin on the spam filtering problem. Finely tuned mathematics and a big database of receiver statistics give back up some truly impressive claims. We said last year that we like Abaca's approach; it's very promising.
For over a year, Abaca has been working on a deal with Yahoo to add the technology -- which it now calls CLX -- to the spam filtering mix. A few months ago, we heard unofficially that Yahoo agreed to roll it out.
Now, Abaca is announcing that the rollout has been hugely successful, and that Yahoo is extremely satisfied with the result.
As an update, here's the (claimed) highlights of the Abaca technology:
- Guaranteed accuracy of at least 99% catch rate (with money-back contract terms).
- Claimed false positive rate is infinitesimal (we calculate their claims equate to one in a million messages).
- After bootstrapping with recipient email statistics, no user training is required, but can be individualized by users clicking the Spam/Not-spam buttons.
- By its nature, it's extremely scalable -- a single small server can handle 90 million messages per hour.
Of course, we can't verify these claims, but it would appear that Yahoo effectively has.
Equally, we don't know how close to reality the false positive figures are -- at best they're based on user reports alone, which usually tend to significantly understate the reality. But, again, if the Yahoo user reports are anything close to 1:1,000,000, then Abaca has something really worth shouting about. ... Richi Jennings
Latest Buzz ... Email Archive Migration: Plan for Stubbing
We hear that Kazeon is in acquisition talks with Symantec. Any further information is welcome--please contact David Ferris at firstname.lastname@example.org or +1 415 367 3436.
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