“One of the things musicians can do is recognize each other by the way they play,” says Bethann Rome, co-founder of Intensity Analytics.
“You can hear a guitar riff and you can say—‘ah! I know who that is’.” The same way playing identical notes can sound different from one musician to the next because of personal style, new technology can spot the pacing and patterns of our typing.
The key identification technology developed by Rome and the Intensity Analytics team is derived from the idea that if a human can listen and recognize, then a computer should be able to be programmed to do the same thing. By picking up on user behavior cues, Intensity Analytics’ technologies can make a solid determination and prevent identity theft.
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