Is your organization truly AI native, or did you just bolt AI onto existing infrastructure? Your answer could be an indicator to how much risk you’re carrying without realizing it.
Zach Evans, Chief Technology Officer at Xsolis, has a simple test for telling the difference: strip out the AI and see if your process still works. If it does, you may be exposing your organization to security blind spots and workflows that quietly erode organizational knowledge and skills.
Zach joins Johnny Hand and Dustin Childs to unpack what it actually takes to build an AI-native organization, and why the stakes of getting agentic AI wrong can be unforgiving for every organization, not just those in healthcare.
You’ll learn:
What makes an organization truly AI-native and why it matters
How to design security, redundancy, and access controls into AI workflows from the start
Why you should onboard AI agents like a new hire
How to assess MCP servers as third-party vendors
Why both technical redundancy and having people who can still perform critical work manually can’t be an afterthought
Why stick around:
Zach turns lessons from real hospital downtime into a practical mandate for every security leader: plan for when the agent fails, not only for when it works.
Episode resources:
Zach Evans on LinkedIn
Learn more about Xsolis
From Predictive to Generative to Agentic AI: Understanding Healthcare’s Next Evolution
The Cybercriminal Underground: Mapping the Healthcare Data Economy
Hunt Them All: An AI-Powered Vulnerability Sweep of 19,000 MCP Servers
Dustin Childs on LinkedIn
Johnny Hand on LinkedIn
TrendAI on LinkedIn
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