Building a Secure AI Application Framework for Edge Computing

Learn essential strategies for securing AI applications at the edge in this technical talk that addresses unique challenges faced when deploying outside traditional cloud or data center environments. Explore critical security considerations including operating without a secure perimeter, handling untrusted hardware/software/users, and managing lifecycle tasks across diverse hardware at scale. Discover practical solutions for developing applications that can function with intermittent connectivity and bandwidth limitations. Gain insights into EVE-OS, an open-source lightweight operating system specifically designed for distributed edge computing, and understand how it helps prevent software/firmware attacks, maintains security with unreliable networks, and enables efficient application deployment and updates in bandwidth-constrained environments.