As hospitals and health systems continue to build out "internet of things" devices and rely on legacy systems, they are becoming more vulnerable to cyberattacks. The solution? Artificial intelligence, according to Vectra's 2019 Spotlight Report on Healthcare.
Machine learning and AI can help detect hidden threat behaviors within an organization before a cybercriminal takes advantage of the weakness, Vectra suggest.
"Twelve percent of enterprise organizations have already deployed AI-based security analytics extensively, and 27 percent have deployed AI-based security analytics on a limited basis. We expect these implementation trends will continue to gain," said Jon Oltsik, senior principal analyst at Enterprise Strategy Group.
Additionally, with new and old systems in place, gaps and policies and procedures may cause an influx in human errors. By leveraging AI, hospitals can reduce the opportunities for human error.
"Healthcare organizations struggle with managing legacy systems and medical devices that traditionally have weak security controls, yet both provide critical access to patient health information," said Chris Morales, head of security analytics at Vectra. "Improving visibility into network behavior enables healthcare organizations to manage risk of legacy systems and new technology they embrace."
The Vectra healthcare report explored the behaviors and trends from 354 opt-in enterprise organizations in healthcare and eight other industries. From July to December 2018, Vectra monitored network traffic and collected metadata from more than 3 million workloads and devices.