Why Agent Authorization Breaks in Production and How Enterprises Can Fix It

Production AI agents require authorization beyond user authentication, because they must act on behalf of individual users across external services while being constrained to specific actions and resources. Generic service accounts can bypass user-level permissions, while granting agents full user credentials can create risks from errors, hallucinations, or prompt injection. The text presents CData Connect AI as a managed MCP platform that addresses this gap through user-specific, connection-level permissions enforced when tools are executed, enabling controlled actions such as querying Salesforce, updating Jira, or sending messages. It provides generalized tools for accessing and acting on business systems, abstracts OAuth flows, token management, credential storage, auditing, and service integrations, and can be used with MCP-compatible agent frameworks such as LangChain to securely retrieve data and perform permitted tasks.

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