# The Protocol Stack AI Is Missing

Page: https://stenobird.com/podcast/beyond-the-pilot-enterprise-ai-in-action-7531113/the-protocol-stack-ai-is-missing
Text version: https://stenobird.com/podcast/beyond-the-pilot-enterprise-ai-in-action-7531113/the-protocol-stack-ai-is-missing.md
Podcast: [Beyond The Pilot: Enterprise AI in Action](https://stenobird.com/podcast/beyond-the-pilot-enterprise-ai-in-action-7531113)
Published: 2026-04-15T18:48:00+00:00
Episode link: https://traffic.megaphone.fm/UTEAU1290725613.mp3?updated=1776208199
Audio file: https://traffic.megaphone.fm/UTEAU1290725613.mp3?updated=1776208199
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JSON: https://stenobird.com/v1/public/podcasts/beyond-the-pilot-enterprise-ai-in-action-7531113/episodes/the-protocol-stack-ai-is-missing
Duration seconds: 3059

## Resource

Cisco's OutShift deployed a multi-agent network configuration system that raised error detection from 10–15% to 100% and cut full change validation from 2–3 weeks to 6–7 minutes. The reason it worked — and why most enterprise multi-agent deployments still fail — comes down to a single gap nobody is talking about: agents can connect, but they cannot think together. Vijoy Pandey, SVP and General Manager of OutShift by Cisco, joins Matt and Sam to explain why A2A, MCP, and existing agent protocols solve connectivity but leave out an entire layer: shared cognition. OutShift's research identifies this as a missing "Layer 9" — a semantic and cognitive communication stack above today's syntactic protocols — and they're already building it. The conversation covers the four pillars of enterprise-grade multi-agent infrastructure (discovery, identity/access, communication, observability), why standard IAM models break when agents enter the picture, and how OutShift extended OpenTelemetry with Microsoft to cover multi-agent evaluation. Vijoy introduces three new cognition-state protocols — SSTP (Semantic State Transfer), LSTP (Latent Space Transfer), and CSTP (Compressed State Transfer) — and explains the staged rollout path for each, including a published MIT collaboration called the Ripple Effect Protocol. The healthcare scheduling case study is particularly instructive: three independent third-party agents — insurance, diagnostics, scheduling — each with competing optimization functions and siloed context, and zero shared intent. That's the real multi-vendor, multi-org enterprise problem. Vijoy explains what an orchestrator can't fix, and what a cognitive fabric layer would. 🎙️ GUEST: Vijoy Pandey | SVP & General Manager, OutShift by Cisco 🎙️ HOSTS: Matt Marshall | VentureBeat,…

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## Transcript

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