

Google researchers have combined a number of reputation techniques to create
a system that is 99 percent successful in detecting and blocking malicious
executables downloaded by users of its Chrome browser.
The system, known as Content-Agnostic Malware Protection (CAMP), triages up
to 70 percent of executable files on a user’s system, sending attributes of
the remaining files that are not known to be benign or malicious to an
online service for analysis, according to a paper (PDF) presented at the
Network and Distributed System Security Symposium (NDSS) in February.
via
Google Uses Reputation To Detect Malicious Downloads – Dark
Reading.
Google’s ability to mine data from millions of connections, and then
leverage that information across its various properties, is invaluable.
It’s why their spam protection is best, it’s why their web security is
relatively strong, it’s why they’re overall just good at learning from their
data.
They have the Borg approach: get hit with something once, spread the defense
to all collective systems near instantly so that it never happens again.
This can be seen in email malware defense like this article talks about, and
in the way they do code testing. Before code goes to the Internet it gets
blasted with all the existing threats they’ve ever seen–up to and including
yesterday–to make sure it doesn’t have any flaws they’ve already been stung
by.
They’re just really good at harvesting lessons-learned from their data in
near realtime, and that is a security meta-feature that I think puts things
like Google Apps ahead of most offerings security-wise.
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