New Whitepaper • July 2026

Trusted AI in Healthcare

A CISO's Framework for Balancing Innovation, Cybersecurity, and Patient Safety

A practical framework for healthcare leaders to govern and secure AI while driving innovation, ensuring compliance, and protecting patient safety.

100% Free • No Registration Required • Expert Insights

Trusted AI in Healthcare whitepaper cover with cybersecurity shield and hospital background

Key Topics Inside

What You’ll Learn

Actionable frameworks and guidance to help healthcare organizations adopt AI securely and responsibly.

AI Governance

Build a pragmatic governance model that enables innovation while managing risk.

Shadow AI

Understand the risks of unmanaged AI tools and how to detect and control exposure.

CISO Framework

Use practical checklists, risk taxonomies, and decision frameworks to evaluate AI.

Human Oversight

Implement meaningful oversight models that protect patients and support clinical judgment.

Maturity Roadmap

Follow a 5-stage roadmap from ad hoc use to trusted enterprise AI governance.

Vendor Guidance

Leverage vendor review questions and controls for secure and compliant adoption.

8 Pages

Practical, executive-focused whitepaper

5 Governance Stages

From ad hoc use to trusted AI

10+ Frameworks & Tools

Checklists, models, and practical resources

100% Healthcare Focused

Written specifically for healthcare leaders

Kevin Royer, CISSP

About the Author

Kevin Royer, CISSP

Experienced information security executive specializing in cloud security, healthcare compliance (HIPAA), and enterprise IT infrastructure.

Founder of FirstLine Security and Senior Director of Information Security & Compliance at Nice Healthcare. Kevin publishes the LinkedIn newsletter “The Healthcare CISO: Cybersecurity Insights for a Healthier Future” and serves on the board of the ISC2 Phoenix Chapter.

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Ready to build a trusted AI future in healthcare?

Download the full whitepaper and start your governance journey today.

Download Whitepaper (PDF)