Hello Sniffer Folks,
This is just a quick note to touch base. It's been a while since we've
had an update, and the list is so quiet!
* Over the past few days we've finished a major re-tuning of our
rulebase compiler system. The improved rulebase compiler bots are just a
bit smarter and as a result many systems are receiving their updated
rulebase files sooner than ever before. This means capturing more spam
early on more systems and as a result more accurate data in GBUdb for
new bot-nets. A win for everyone.
* We're growing again: Please welcome our newest SortMonster: Brian (The
Fall Guy). We look forward to Brian's help as we expand our research
capacity and improve our flexibility so that we can rapidly respond to
new spam storms and preemptively defeat those we can predict.
* If you don't already know, a few months ago we launched
truncate.gbudb. "Truncate" is an rfc5782 compliant DNSBL that contains
IPs from the dark edge of Message Sniffer's GBUdb system. So far the
comments we've received have been very positive. Be sure to give it a
look when you get a chance and see if it can help you safely block
connections at the edge of your systems.
http://www.gbudb.com/truncate/index.jsp
* Over the next few months we will be upgrading our servers to increase
our capacity and support more sophisticated analysis and research
engines. All of this translates to improved rulebase quality and
response times. Expect this round of upgrades to be finished in the
first half of the new year when we will have some exciting surprises.
* Quietly in the back of the lab we have been building a sophisticated
proactive false positive prevention system and we've been seeing some
impressive results. Working closely with several of our largest partners
we have developed a system which allows us to identify and eliminate
many false positives before they can occur! This has allowed us to take
our already low false positive rate and reduce it by nearly 30% over the
past few months - especially focusing on low-level false positives that
might otherwise never be reported or detected. As a result we have seen
a measurable reduction in false positive related support traffic across
all of the systems we monitor. We expect further improvements as we
develop more sophisticated tools to help us with our research.
=====
We would love to hear from you!
Please send us a note from time to time and let us know what we're doing
right and how we can improve.
Best,
_M
--
Pete McNeil
Chief Scientist
ARM Research Labs, LLC
www.armresearch.com
866-770-1044
x7010
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