Physical AI with Zero Trust: Secure Interoperability for Robots and Agents on Tailscale

Physical AI with Zero Trust: Secure Interoperability for Robots and Agents on Tailscale

Physical AI with Zero Trust: Secure Interoperability for Robots and Agents on Tailscale

This talk explores how Tailscale enables secure, zero-trust interoperability for robots, agents, and physical infrastructure.

Robots don’t operate in isolation. Agents control robots across real-world environments, and achieving low-latency, reliable coordination across distributed systems is critical for seamless operations.

By creating a secure mesh layer, autonomous systems can communicate directly, orchestrate tasks in real time, and integrate with cloud services while maintaining operational control and flexibility.

We will show real-world case studies from hospitality fleet management and security robotics to demonstrate how distributed connectivity and low-latency communication allow physical AI systems to scale and operate efficiently.

Attendees will learn lessons learned and strategies for building systems where robots and agents work together reliably across infrastructure without operating in isolation.