Analysis
AI agent shared responsibility model - Microsoft Azure | Microsoft Learn
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Why it matters
Microsoft's shared responsibility guidance helps defenders reason about who must configure, operate, and monitor controls for autonomous AI agents, whose tool-calling, memory, and delegated identities create trust boundaries absent from traditional LLM deployments.
Microsoft's Azure documentation presents an "AI agent shared responsibility model" that describes how autonomous agents differ from request/response LLMs—acting autonomously via tools and APIs, holding persistent memory, carrying distinct identities, and composing with other agents—and maps the resulting governance responsibilities. It flags top agentic risks such as prompt injection that drives actions, excessive agency, and confused-deputy scenarios across SaaS and self-hosted deployment models.