Island at HLTH Conference 2025 - Data Governance in the World of AI
Eliminate Shadow AI and regain control over your data. As healthcare organizations race to adopt LLMs, Island’s Enterprise Browser provides the essential governance layer to protect PHI, manage model access, and secure your distributed workforce—from home-based researchers to traveling nurses.
Healthcare organizations are racing to adopt AI, from public LLMs to agentic AI platforms. But with that adoption comes a new yet familiar problem: shadow AI. Just like shadow IT before it, every AI model out there is probably being used by someone in your organization. Your users are putting data into AI tools, but do you have any visibility or control over where that data goes?
Island, the Enterprise Browser, gives you the power to govern AI access and protect PHI without slowing anyone down. At HLTH 2025, Island's Christian Boucher and Shawn Surber explore how enterprise browser-based governance creates an abstraction layer between your users and the AI tools they need, letting you control which models they can access, what data they can share, and how they interact with sensitive information.
The conversation covers real-world scenarios facing today's distributed healthcare workforce: researchers working from home, physician affiliates, traveling nurses, and home health workers who all need secure access to AI-powered tools regardless of device. With Island, you can deploy new tools and applications to any user in minutes instead of months while maintaining complete control of the last mile.
This is data governance, reimagined for the age of AI.
Sometimes changing one thing changes everything.