Skip to content
Sign in
Artwork for The AI Security Podcast
The AI Security Podcast · January 11 · 28 min

Model Context Protocol and Agent 2 Agent 🤖🕵️

In this episode, we dig into Model Context Protocol (MCP) and agent-to-agent (A2A) communication — what they are, why they matter, and where the real risks start to emerge.We cover:- What MCP actually enables beyond “tool calling”- How A2A changes the threat model for AI systems- Where trust boundaries break down when agents talk to each other- Why existing security assumptions don’t hold in agentic systems- What practitioners should be thinking about now (before this ships everywhere)This one’s for anyone working on AI systems, security, or governance who wants to understand what’s coming before it becomes a headline incident.As always: curious to hear your takes — especially where you think the biggest risks (or overblown fears) really are.

0:00-28:29
Play in

transcript

No transcript — this publisher did not publish one.

show notes

In this episode, we dig into Model Context Protocol (MCP) and agent-to-agent (A2A) communication — what they are, why they matter, and where the real risks start to emerge.We cover:- What MCP actually enables beyond “tool calling”- How A2A changes the threat model for AI systems- Where trust boundaries break down when agents talk to each other- Why existing security assumptions don’t hold in agentic systems- What practitioners should be thinking about now (before this ships everywhere)This one’s for anyone working on AI systems, security, or governance who wants to understand what’s coming before it becomes a headline incident.As always: curious to hear your takes — especially where you think the biggest risks (or overblown fears) really are.

more episodes

All episodes