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Twitter Buys Dasient Security Company

twitter_logo_2012small.pngInternet security company Dasient announced in a blog post that it had been acquired by Twitter.

Now What?

Dasient's blog post is rather terse, saying:

By joining Twitter, Dasient will be able to apply its technology and team to the world’s largest real-time information network. As part of this merger, Dasient is winding down its business and is no longer able to accept new customers."

Mashable quotes Rachael Horwitz, a Twitter spokesperson, who says that Dasient will be integrated into Twitter’s revenue engineering team "because they have a deep understanding of advertising-platform security issues."

Founded in 2008, Dasient released the "first-ever" automated anti-malvertising solution in 2010. According to that announcement, Dasient's solution discovers and diagnoses malicious ads, limiting the exposure and severity of a malvertising attack.

In 2009, the company launched Mod Anti-Malware Lite, an open source version of its Web Anti-Malware, at HostingCon, but it doesn't look like the project has seen much (if any) activity since then.

Between July 2011 and now, Dasient hasn't had much to say on the company blog or in press releases.

Twitter Goes Shopping

In September 2011, we reported that Twitter landed US$ 800 million in funding. Twitter ad revenue is expected to top US$ 140 million this year, which is a 210% increase over 2010. The company is still toying with ways to bring in money, but seems to have mastered the art of spending it.

Last week we reported that Twitter is acquiring Summify, the social news aggregation service. Not everyone is happy about that deal because Summify will be turning off a lot of features during the move and stopping new user registrations.

Twitter also made headlines this week because some of its engineers are publicly objecting to Google's "Search Plus Your World" rollout. Twitter engineers, along with engineers from MySpace and Facebook, released a "Don't Be Evil" tool in response, which illustrates alleged bias in Google searches.

 
 
 
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