Traditional token-based authorization was designed for human users and breaks down when applied to autonomous AI agents. Data breaches like UNC6395 highlight the risks of insecure, long-lived tokens. For agentic AI, token handling must shift to runtime (just-in-time) authorization, context-aware access control that considers who is acting and why, short-lived tokens scoped to individual requests, and strict least-privilege principles. Emerging standards like MCP and Arazzo, alongside token intelligence platforms, help provide auditable, granular authorization for non-human identities operating across API ecosystems.
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Improving Token Handling for the Agentic EraAn Example of Token Handling in The Era of AI AgentsAgentic AI Requires Intelligent Token HandlingAI SummarySort: