Because of the noise-to-signal ratio, network security is particularly challenging for colleges and universities, says Kayne McGladrey, CISO and CIO of Pensar Development and member of the technology industry group IEEE.
“Every university has a whole crop of new individuals who come into the organization on an annual or quarterly basis,” McGladrey explains. With such a frequent influx of new arrivals bringing their own devices and computers, it’s essentially impossible for university IT teams to control the sheer number of new endpoints. AI can identify networking traffic, assess what “normal” looks like on a university network and do it at a larger scale that humans can accomplish. Thus, if a “faculty member normally arrives at 8 a.m., does work until 7 p.m. and then maybe logs on to her email at 9 p.m., you wouldn’t expect that individual to be up at 3 a.m. connecting from China. AI can monitor those patterns of normalcy,” he says.