Deploying AI agents in enterprise settings requires robust multi-user authentication and authorization protocols. The key principle is to treat every agent action as a delegated user access, not as the agent's own blanket permission. This involves combining OpenID Connect, OAuth 2.1, and a managed runtime like Arcade.dev to prevent misuse and data leakage. The recommended approach uses a two-identity model: one for the agent application and another for the user, with actions evaluated based on the intersection of their respective permissions. AI
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IMPACT Establishes best practices for securing multi-user AI agents, crucial for enterprise adoption and safe deployment.
RANK_REASON The article discusses infrastructure and protocols for deploying existing AI agent technology, rather than a new model release or core research.