Securing agentic workflows with Box MCP server guardrails
Blog post from Box
In the examination of AI security challenges associated with the Model Context Protocol (MCP), new enhancements have been introduced to bolster governance and auditability, specifically through the implementation of Admin Controls for the Box MCP server. These controls aim to manage the interaction of AI agents with proprietary content by balancing automation of complex business processes with the associated risks of "write" actions, such as file movement or metadata updates. The new features include a centralized Admin Console that provides precision control, allowing IT administrators to customize agent capabilities according to their organization's risk tolerance and compliance requirements. This update enhances security by offering granular access tiers, custom tool configurations, invisible guardrails to prevent unauthorized actions, and full auditability for tracking configuration changes. Ultimately, these developments aim to integrate AI agents seamlessly with human employees while extending Box's security framework to accommodate advancing AI technologies.
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