Nine in 10 medical organizations are planning to acquire AI tools into their security approach by the end of the year.
A survey from the Cyber Risk Alliance ( CRA ) found that healthcare cybersecurity professionals and decision makers see AI platforms as a possible way to address everything from threat intelligence to risk assessment and incident response. CRA is the family firm of SC Media.
” The future of healthcare is going to be tech-based and tech-implemented as AI in healthcare comes to the fore”, predicted one study participant.
” It will improve medicine and healthcare as we know it and services that don’t conform can disappear”.
According to the survey, which sampled a cross section of 200 people in administrative and security specialist functions, 50 % of medical institutions are already using AI tools in their cybersecurity practices.
That amount is set to jump in the coming weeks as an extra 40 % of poll respondents said they plan for their business to incorporate one or more AI equipment by the end of the year.
The most popular use for AI is likely to be threat intelligence, as about 60 % of respondents said the devices they’re rolling out will be in the threat intel and analysis space.
The next most common use circumstance for AI is set to be in the data analytics room, with 54 % of respondents planning to incorporate those resources. Even logging 54 % in the study was the implementation of risk assessment tools.
The top five expected use cases for AI were rounded out by incident response platforms and tools designed to manage internet of medical things ( IoMT ) connected devices, each seeing 49 % of respondents.
IoMT control is seen as a particularly interesting place of opportunity for AI integration. With a growing number of medical equipment and implants sporting network connectivity, administrators are hard-pressed to stay current on bios updates and risk monitoring.
” With the increased use of smart and Wifi devices in heath, prioritizing the safety of these products from vulnerabilities is essential”, explained one participant.
” Endpoint safety, encryption, and system management may be important elements of security in healthcare”.
While there is plenty of enthusiasm around AI, there is also some concern for care organizations, with about 69 % of the respondents citing data security and privacy as a major issue for AI use.
Professionals also said they were concerned about AI security tools increasing spending (60 % ) and worried that staff will not be properly trained on how to implement and manage AI tools ( 59 % ).
” The market is ripe for AI usage and is somewhat slower to connect the technology according to ethical and legal impediments”, said one participant.
“Cybersecurity may be enhanced with AI and may even lower costs and increase value to all main stakeholders”.