FINAL WORD
However , there are three key areas where this sector falls short :
• Accidental and / or malicious insider threats : The HIMSS Cybersecurity Survey 2020 states that 89 % of initial compromise in hospitals is still through emails and more than half ( 57 %) of the cyberattacks in healthcare begin via trusted insiders .
• Third-party are unsecured often with unrestricted access : Over 1600 insurers at an average share PHI with hospitals . Hospitals also deal with a large number of medical devices suppliers , vendors for equipment , medication , repairs and more , each third party is likely to be an entry point .
• Medical device security : There will be 50 billion medical devices by 2028 , with 15-20 IoMT in each hospital room , creating a vast digital attack surface . Interestingly , while one aspect is digitizing faster than it can be secured , 83 % of medical imaging devices are still legacy systems too old to receive software updates .
• The lack of a designated security team : 87 % of healthcare IT security leaders work without the right personnel , and three in four hospitals are operating without a designated security leader .
Can predictive analytics in cybersecurity help the healthcare sector ?
Financial services organisations predict the likelihood of loans being repaid using the financial history of the applicant , their previous loans , salary / income and credit score . Similarly , OTT platforms use predictive analytics and algorithms to improve their suggestions .
Each prediction makes the organisation that much more prepared to predict and therefore mitigate breaches .
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