Oct 11, 2026

An AI Future Without the Lock-In — Remy Guercio, Tailscale

Remy Guercio of Tailscale argues that the era of unlimited AI budgets is over and that teams need to escape lock-in while proving real ROI. He breaks an internal AI deployment into four layers (models, data connectors, interfaces, and sandboxes) and presents an AI gateway as the way to keep each layer swappable. He demonstrates how Tailscale's Aperture uses tailnet identity instead of shared API keys, sets per-model budgets, serves as both an LLM and MCP gateway, centralizes authentication for coding agents, and provides logs for diagnosing agent behavior.

Oct 10, 2026

AI Agents Don't Read Your Policy Docs. They Hit Your APIs — Gravitee

Sam, CTO at Gravity, argues that AI agent governance must be enforced in infrastructure rather than in prompts or policy documents. Through five live demos against a hotel-booking agent, he shows a gateway blocking destructive tool calls, preventing data exfiltration, rate-limiting runaway agents, serving cached semantic responses, and rejecting oversized prompts before any LLM call. He also covers observability, vendor decoupling via LLM routing, trimming bloated MCP tool lists, and managing shadow AI.