The proliferation of healthcare 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.

Published in the Vectra 2019 Spotlight Report on Healthcare, these findings underscore the importance of utilizing machine learning and artificial intelligence to detect hidden threat behaviors in enterprise IT networks before cybercriminals have a chance to spy, spread and steal.