[Ep 035] Agentic AI Boundaries: Multi-Tenancy Done Right

Multi-tenancy in agentic AI is not the same thing as multi-user—and getting it wrong can create serious security, compliance, and data boundary risks. In this episode, Greg Banks and Gavin Franklin break down what actually changes when an AI agent serves multiple users vs multiple tenants.What you’ll learnHow to distinguish individual, multi-user, and multi-tenant agent architectures (and why multi-tenant doesn’t always imply multi-user).Where cross-tenant leaks happen: memory, embeddings + vector search, and logs/traces—and what “tenant-scoped” really means.Why shared OAuth/API tokens and “UI-only filtering” are dangerous—and how MCP-style services help reduce risk.Who it’s forBusiness leaders and technical teams designing, governing, or securing agentic AI systems with real enterprise data.Guest + credibilityGavin Franklin joins host Greg Banks to explain the architecture and security controls that matter most when agents operate across users and tenants.CTAHave questions or want a follow-up topic? Email [email protected]. (And follow the show for more on agentic AI.)For questions or feedback, please contact us at [email protected] LinksEpisode Artifact:Gavin Franklin on LinkedInGreg Banks on LinkedInJason Fowler MusicCirrius Solutions