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The National Security Agency has significantly enhanced its capabilities for detecting cyber-threats in the two-plus years since former NSA contractor Edward Snowden pilfered and disclosed classified information. The multi-layered capabilities, which include user behavior analytics, now protect a private cloud that provides storage, computing and operational analytics to the intelligence community, CIO Greg Smithberger tells CIO.com.
“There are a number of initiatives we have underway there to really use a lot of our big data analytics, a lot of the technology we have developed for our foreign intelligence mission, as well as technology we’ve developed inside our Information Assurance Directorate,” says Smithberger, who began his new job six months ago after serving in various operational foreign intelligence roles over the past 27 years. He says the NSA is using automated capabilities “to up our game” for detecting and responding to anomalies, including anything from external attacks to suspicious internal activity.
The NSA has taken it on the chin from the mainstream media and privacy advocates because several revelations by Snowden, who while working as an NSA contractor through Booz Allen in 2013 copied and began releasing documents detailing NSA secret programs that surveil communications in the U.S. and abroad. The documents shed new light about the government’s monitoring of phone and email records to surveil terrorism suspects. The controversy is regularly stoked with new findings, including the New York Times revelation that the NSA augments the way it sifts through large amounts of digital data in pursuit of bad actors.
Read more here: http://www.computerworld.com/article/3013455/security/how-the-nsa-uses-behavior-analytics-to-detect-threats.html
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