Despite stringent security policies and procedures, academic medical centers face real risk when making their data available for algorithm validation. Likewise, algorithm developers must carefully guard the intellectual property of their models. So how can a “zero trust” environment be leveraged — assets be kept safe and secure — in order to accelerate generalizable healthcare AI?
In this on-demand webinar, we’ll :
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Summarize the barriers to securing access to protected health data in the current environment
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Explore the zero trust concept in this setting
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Share how a zero trust environment can help to address the current barriers
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Examine the key components of creating a trust framework
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Explore the challenges to market adoption of zero trust environments for healthcare AI develop
On-Demand webinar
