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8 Common Data Security Gaps in Health Care
This story was originally published on HackerNoon at: https://hackernoon.com/8-common-data-security-gaps-in-health-care.
Health care data security is crucial but can be challenging. Here are the most common data security gaps to address.
Check more stories related to science at: https://hackernoon.com/c/science.
You can also check exclusive content about #healthcare, #data-security, #cybersecurity, #health-data, #data-storage, #medical-security, #third-party-risk-management, #it, and more.
This story was written by: @zacamos. Learn more about this writer by checking @zacamos's about page,
and for more stories, please visit hackernoon.com.
The most common gaps in health care data security are adequately securing disparate data storage systems; enabling lateral movement with interconnected systems; brushing aside the need to revisit data sources; ignoring third-party vendors' roles in data security; minimizing medical wearable and implantable threats; improperly disposing of outdated data; viewing cybersecurity and data security as separate; and merging legacy and modern storage systems.
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By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/8-common-data-security-gaps-in-health-care.
Health care data security is crucial but can be challenging. Here are the most common data security gaps to address.
Check more stories related to science at: https://hackernoon.com/c/science.
You can also check exclusive content about #healthcare, #data-security, #cybersecurity, #health-data, #data-storage, #medical-security, #third-party-risk-management, #it, and more.
This story was written by: @zacamos. Learn more about this writer by checking @zacamos's about page,
and for more stories, please visit hackernoon.com.
The most common gaps in health care data security are adequately securing disparate data storage systems; enabling lateral movement with interconnected systems; brushing aside the need to revisit data sources; ignoring third-party vendors' roles in data security; minimizing medical wearable and implantable threats; improperly disposing of outdated data; viewing cybersecurity and data security as separate; and merging legacy and modern storage systems.