Transcrito
Microsoft AI Gateway - Simply Explained
3 de ago. de 2026 ·
17m 48s
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Microsoft AI Gateway - Simply Explained
Descripción
When every team connects its own AI app straight to a model provider, keys leak, costs blur and nobody can say what an agent actually did. This episode is for...
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When every team connects its own AI app straight to a model provider, keys leak, costs blur and nobody can say what an agent actually did. This episode is for platform, security and AI teams scaling beyond a single chatbot. You learn how Microsoft AI Gateway in Azure API Management centralizes routing, identity, safety checks and token limits for models, tools and agents.
In this episode
Key takeaways
Worth quoting
“The AI Gateway is the reception desk and the security desk at the front. It checks who is coming in, applies the rules and records where requests go before they reach the rest of the building.” – Mirko Peters (01:21)
“A wrong answer from a model confuses someone, but an agent using the wrong tool can expose data, change a record, or trigger a process it should never touch.” – Mirko Peters (07:22)
Explore more on M365.FM
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
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In this episode
- 00:00 – From one chatbot to dozens of AI tools
- 00:56 – One front door for AI
- 03:27 – One endpoint, many models
- 06:53 – Governing agents and tools
- 10:08 – Token costs, limits and visibility
- 13:28 – A simple request journey
- 16:38 – Where to start
Key takeaways
- Microsoft AI Gateway is a set of Azure API Management features that puts one managed control point in front of AI models, MCP tools, agents and business APIs.
- Routing behind a stable endpoint lets platform teams change models, regions or providers and add backup paths without changing every application.
- Per-agent identities, narrow approved tools, safety checks and token limits and quotas keep agents in bounds and make AI usage and cost traceable.
Worth quoting
“The AI Gateway is the reception desk and the security desk at the front. It checks who is coming in, applies the rules and records where requests go before they reach the rest of the building.” – Mirko Peters (01:21)
“A wrong answer from a model confuses someone, but an agent using the wrong tool can expose data, change a record, or trigger a process it should never touch.” – Mirko Peters (07:22)
Explore more on M365.FM
- Episode page: the full episode with chapters, quotes and FAQ on Microsoft AI Gateway
- Azure API Management – the service whose features make up Microsoft AI Gateway, extended from regular APIs to AI traffic
- AI agent – the main risk case here, since agents call tools and each should get its own identity
- Model Context Protocol (MCP) – the tool connection standard whose servers the gateway can put access and safety controls around
- Microsoft Foundry – where teams build and manage AI projects, while the gateway governs the traffic they create
- Related episode: Extending Microsoft 365 Copilot: Agents, MCP & Production-Grade AI with Yves Habersaat [MVP]
Follow and rate M365.FM in your podcast app, and join the free M365 community at m365con.net.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-fm-microsoft-365-azure-cloud-power-platform-ai--6704921/support.
Información
| Autor | Mirko Peters M365, Azure & AI |
| Organización | m365 FM |
| Página web | www.m365.fm |
| Etiquetas |
Copyright 2026 - Spreaker Inc. an iHeartMedia Company
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