Healthcare Innovation April 25, 2019
Healthcare organizations’ vulnerable attack surfaces can be better secured by utilizing machine learning and artificial intelligence (AI) to detect hidden threat behaviors, according to a new report from IT security company Vectra.
The report found that the proliferation of healthcare internet-of-things (IoT) devices, along with unpartitioned networks, insufficient access controls and the reliance on legacy systems, has exposed a vulnerable attack surface that can be exploited by cybercriminals determined to steal personally identifiable information (PII) and protected health information (PHI), in addition to disrupting healthcare delivery processes.
But, “machine learning and AI can assist healthcare organizations in better securing networks, workloads and devices, and provide data security by analyzing behaviors across systems,” said Jon Oltsik, senior principal analyst at Enterprise...
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