Why Organizations Need an AI Gateway

Short summary

An AI gateway centralizes control over LLM access across your organization, solving fragmentation when teams adopt multiple providers. It enforces budgets and rate limits, secures credentials, load-balances across models, and provides audit trails—transforming invisible costs and security gaps into managed infrastructure. As AI agents become more complex and access external tools via MCP, gateways extend governance to tool-level access control and approval workflows.

• •Prevents cost overruns, credential sprawl, and vendor lock-in by centralizing LLM access
• •Provides observability, role-based access control, load-balancing, and automatic failovers
• •Extends governance to AI agents, tools, and MCP for complex multi-provider deployments

Generated with AI, which can make mistakes.