Who Approved This Agent? Rethinking Access, Accountability, and Risk in the Age of AI Agents
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AI agents fundamentally break traditional Identity and Access Management (IAM) models by operating with delegated authority across multiple users and systems. Unlike human users or service accounts, agents accumulate broad, persistent permissions without clear ownership, creating authorization bypass risks. Organizational agents—shared across teams with no defined owner—pose the highest risk. Securing them requires establishing clear ownership, mapping user-to-agent-to-system relationships, and treating agents as distinct high-risk entities rather than extensions of users or automation processes.
Table of contents
AI Agents Break Traditional Access Models #The Three Types of AI Agents in the Enterprise #The Agentic Authorization Bypass Problem #Rethinking Risk: What Needs to Change #The Cost of Uncontrolled Organizational AI Agents #293 Impressions