Machine Learning Can Use Tweets to Spot Critical Security Flaws
At the endless booths of this week's RSA security trade show in San Francisco, an overflowing industry of vendors will offer any visitor an ad nauseam array of "threat intelligence" and "vulnerability management" systems. But it turns out that there's already a decent, free feed of vulnerability information that can tell systems administrators what bugs they really need to patch, updated 24/7: Twitter. And one group of researchers has not only measured the value of Twitter's stream of bug data but is also building a piece of free software that automatically tracks it to pull out hackable software flaws and rate their severity.
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