In our war on spam, we've done a lot of different things through the years. Most recently, we've started using Katharion as a front end anti-spam service, with our existing Barracuda as a second step in the pipeline. We added Katharion because the Barracuda was letting too much through without considerable management. Here's a snapshot from the Barracuda that shows the effectiveness of Katharion:
Notes:
- Prior to 3/3, Katharion was operating in a minimal mode, mostly just passing mail through, but still knocking out a bit of spam.
- Late in the day of 3/2 (effectively 3/3), we turned on LDAP filtering. The drop in volume is quite noticeable.
- Late in the day of 3/9 (effectively 3/10), we raised the aggressiveness of the Katharion filtering. Again, the drop in volume is obvious.
- We've continued to do fine tuning since then, but no more major changes in statistics.
Here's what I find most interesting. We went to Katharion because the Barracuda was letting some fairly consistent types of spam through. Katharion blocked those as soon as we cranked up the settings. However, even with Katharion set at the most aggressive setting, it lets through some 100-200 messages a day that the Barracuda is able to fairly easily catch! My guess is that there are still something like 20-50 messages a day that get through both filters, but I don't have good statistics here since we only know what our users tell us about.
Here's a daily, hour-by-hour view, from the Barracuda of current trends:
The traffic volume corresponds to working hours reasonably well. Notice that almost every hour, some 2 or 5 or 10 or 20 messages come through that are recognized as spam, and there are very few false positives here.
I guess I could conclude that Barracuda and Katharion each have some issues to work on to improve the quality of what they do. Or...maybe it's just that catching ALL the spam is really hard! Right now, Katharion is letting through around 150-200 spam messages a day, vs. a volume of good messages of 3000-4000. Is a 5% failure rate acceptable? (Of course, using the double filtering, our real failure rate is more like 1/2%) How effective is your anti-spam solution? And the bigger question: how do you know?
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