The company's idea has drawn investors in fact, the stakes in Cylance taken by venture capital firms thus far value the company at $1 billion. Rather than use heuristics that look for behaviors matching specific rules, Protect has been “trained” using "the DNA markers of 1 billion known bad and 1 billion known good files," said Cylance's vice president of product testing and industry relations, Chad Skipper. Protect bases its detection and blocking of malware on machine learning technology. Protect has been highly ranked by a number of industry analysts for its innovative approach to "advanced endpoint security," the broad term used to describe products designed to stop modern malware and other threats to personal computers. That led the engineer to believe Cylance was using the test to close the sale by providing files that other products wouldn't detect-that is, bogus malware only Protect would catch. Curious, the engineer took a closer look at the files in question-and found that seven weren't malware at all. In testing, Protect identified all 48 of the samples as malicious, while competing products flagged most but not all of them. One of the vendors had provided a set of malware samples to test-48 files in an archive stored in the vendor's Box cloud storage account. The vendor providing those samples was Cylance, the information security company behind Protect, a "next generation" endpoint protection system built on machine learning. Last November, a systems engineer at a large company was evaluating security software products when he discovered something suspicious. Sarah Shuda / Flickr reader comments 104 with
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