From framework to runtime: running agents with Foundry Agent Service
Conference Context
- Date/time: 2026-06-30 · 10:45am-11:05am
- Track/room: Track M · Track M
- Speaker(s): Tina Manghnani, Keiji Kanazawa
- Session type/status: sponsor · confirmed
- Track: Track M
- Room: Track M
- Session type: sponsor
- Status: confirmed
Session Description
See how agents move from frameworks into production systems. Learn how Foundry Agent Service provides hosted execution, scaling, and lifecycle management—combining models, tools, and orchestration into a production-ready runtime.
Media Evidence
AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
- Source video:
youtube-JhJKgRAmfIU - Slide deck: Dense Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft — 4 visible slide image(s); 4 HTML recreation(s).
- Additional slide evidence: Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft, Reconstructed Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft
- Slide-derived themes for
youtube-JhJKgRAmfIU: does, handle, loot, bank.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
youtube-JhJKgRAmfIU— 2 slide-derived text signals- Slide-derived themes for
youtube-JhJKgRAmfIU: does, handle, loot, bank. - Evidence links for
youtube-JhJKgRAmfIU: youtube JhJKgRAmfIU, youtube JhJKgRAmfIU slides, youtube JhJKgRAmfIU dense slides, youtube JhJKgRAmfIU reconstructed slides
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
Transcript Status
Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.
People
Supporting Slides
- youtube JhJKgRAmfIU slides — extracted from the related public AI Engineer video.
Slide Evidence
- Slide-only cropped deck: youtube JhJKgRAmfIU dense slides (4 viable slide images).
- Related slide/OCR pages:
- youtube JhJKgRAmfIU dense slides
- youtube JhJKgRAmfIU reconstructed slides
- youtube JhJKgRAmfIU slides
- Slide-derived terms:
microsoft,azure,azure_ai_project_endpoint,foundry,loot,bank,initialize,service,endpoint,api_key,redteamplugin,problims,output,termnal,ports,node,smol,awss
Attendance Visibility
No high-confidence attendance icon signal is shown for this talk. The sampled video evidence was either low confidence, source-proxy-only, or did not expose a clear audience view.
Synthesis
Synthesized Breakdown
From framework to runtime: running agents with Foundry Agent Service ## Conference Context - Date/time: 2026-06-30 · 10:45am-11:05am - Track/room: Track M · Track M - Speaker(s): Tina Manghnani, Keiji Kanazawa - Session type/status: sponsor · confirmed - Track: Track M - Room: Track M - Session type: sponsor - Status: confirmed ## Session Description See how agents move from frameworks into production systems. Learn how Foundry Agent Service provides hosted execution, scaling, and lifecycle management—combining models, tools, and orchestration into a production-ready runtime. ## Media Evidence AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions). - Source video: youtube-JhJKgRAmfIU - Slide deck: Dense Slides: AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft — 4 visible slide image(s); 4 HTML recreation(s).
Speaker And Company Context
- Tina Manghnani — Product Manager at Microsoft.
- Keiji Kanazawa — Principal Product Manager at Microsoft.
Topics Covered
Derived Links And Source Material
- youtube JhJKgRAmfIU — related YouTube source page.
- youtube JhJKgRAmfIU slides — slide evidence.
- youtube JhJKgRAmfIU reconstructed slides — slide evidence.
- youtube JhJKgRAmfIU dense slides — slide evidence.
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.