Security Best Practices for Healthcare AI

Here is how to ensure your AI tools do not become your biggest vulnerability.

Encryption Standards

For voice AI specifically, audio recordings and transcriptions must be encrypted at the point of capture, not after processing. End-to-end encryption means exactly that: no unencrypted PHI at any stage.

Access Control Architecture

Implement role-based access control (RBAC) across every AI system. Reception staff see scheduling data; clinicians see clinical notes; billing sees financial information. No single role should have access to everything.

Vendor Security Assessment

A vendor unwilling to share security documentation is a vendor not ready for healthcare data.

Incident Response for AI Systems

AI introduces unique incident scenarios: model poisoning (where attackers manipulate AI behaviour), prompt injection (where patients or attackers trick the AI into revealing data), and adversarial inputs designed to cause the AI to malfunction. Your incident response plan should include AI-specific playbooks covering these scenarios, with clear escalation paths, containment procedures, and communication templates for patient notification if required.