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 learn

• How 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 for
Business leaders and technical teams designing, governing, or securing agentic AI systems with real enterprise data.

Guest + credibility
Gavin Franklin joins host Greg Banks to explain the architecture and security controls that matter most when agents operate across users and tenants.

CTA
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Recommended Links

Episode Artifact:
Gavin Franklin on LinkedIn
Greg Banks on LinkedIn
Jason Fowler Music
Cirrius Solutions