2 posts tagged with "AI Models"

Every unsanctioned AI agent operating without governance represents a potential data breach, compliance violation, or operational failure waiting to happen. With shadow AI affecting organizations across industries and with a recent IBM report finding that among organizations who suffered an AI-related breach, 97% lacked access controls, the solution isn't restricting AI adoption—it's deploying a centralized MCP Gateway that enforces consistent security policies across every agent, model, and tool in your enterprise.

Enterprise developers face a critical challenge: connecting AI applications to external data sources and tools while maintaining security, governance, and the flexibility to switch between AI models. The Vercel AI SDK combined with Model Context Protocol addresses this problem by providing a standardized approach to integrate multiple AI providers with your enterprise data through a unified interface. This guide shows how DevOps teams and engineering leaders can implement Vercel AI SDK with MCP to build production-ready AI applications that connect to enterprise systems while maintaining complete control over model selection and data access.