Artificial intelligence is stepping into hands-on work across healthcare. Picture an AI agent inside your organization booking a patient’s appointment, requesting a refill and pulling a chart summary in seconds. Now picture not being able to confirm whether it was authorized — or an impersonator wearing its credentials.
This live session gives healthcare leaders a clear path to govern AI identity before agents scale further, so automation stays an asset instead of becoming a new attack surface.
Two identity-verification specialists will break down methods leaders can apply now by binding agent actions to accountable identities, setting risk-based permissions, scoring agent reputation, and using mobile driver’s licenses and continuous assurance to stand up to both deepfakes and audits. Bring your governance questions and leave with a framework you can put in front of your security and compliance teams.
You’ll learn:
• How to tell when an AI agent has crossed from consultant to actor
• Ways to verify AI identity and bind every action to an accountable entity
• Permissioning and reputation models that limit fraud exposure without slowing care
• How mobile driver’s licenses and continuous assurance strengthen e-prescribing and portal access