From Skepticism to Scale: How Leading Healthcare Systems Defend With AI
Healthcare systems face an escalating crisis: legacy medical devices, increasingly sophisticated AI-driven threats, and a shrinking workforce that can’t keep pace with manual security processes. This opening session cuts through the AI hype to show you how leading healthcare organizations are solving this challenge in the real world. You’ll discover a practical framework for governing AI use safely, scaling security operations, and protecting clinical workflows without disrupting patient care.
The speakers will walk you through the operational realities of modern healthcare security, from managing continuous vulnerability patching to unifying fragmented device and contract data into a single risk picture. You’ll explore how identity has become the new security perimeter and why service accounts and AI agents represent a different threat surface than traditional device security. By the end, you’ll understand how to prepare your team for a future where AI handles routine remediation work, freeing your experienced staff to focus on high-priority patient safety initiatives.
Key Takeaways:
- Shift from “patch-Tuesday” cycles to continuous vulnerability management without breaking clinical workflows
- Apply the “Enable, Accelerate, Resist” model to govern internal AI and defend against AI-powered attacks
- Unify fragmented device, contract, and financial data into one clinical risk picture
- Redefine your security perimeter around identity and service accounts, not just devices
- Prepare your team for AI agents that handle routine remediation work
Featured Speakers:
Ty Greenhalgh: Healthcare Technology Strategist, Armis from ServiceNow
Matthew Webb: AVP of Cyber Risk Management, HCA Healthcare
