Imagine naming every AI application running in your organization, what data each one touches, which permissions it holds and who authorized the last action it took. Most health systems cannot do this today, and adoption is moving faster than the inventory.
This whitepaper is built to close that distance. It treats AI security as structural rather than as a tool purchase or a compliance checkbox, and it works through the exposure one layer at a time: identity, data traceability, speed and consistency.
The insights draw on peer-reviewed research into hospital AI adoption, federal breach reporting, the pending overhaul of the HIPAA Security Rule and a primary interview with a security practitioner whose two decades in the field span endpoint security and enterprise threats.
Read it before your next AI application goes live.
Created through a collaboration between Becker’s Healthcare and HP Inc, this report brings together healthcare industry insights, emerging regulatory considerations and practical security perspectives to help organizations prepare for responsible AI adoption.
Inside:
- A prioritized control set for organizations that cannot fund everything
- How to evaluate each AI application by sensitivity, exposure and access breadth
- Why input-stage classification beats bolting controls on downstream
- What vendor assurance has to cover beyond an audit report
