Governing Every LLM and MCP Call Across the Enterprise: Virtual Keys, Budgets, and Guardrails with the Bifrost AI Gateway
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You have API keys in a vault, a budget dashboard, and a policy doc that lists which models are approved. Procurement signed off. On paper, enterprise AI is under control. So answer one question: who called which model last night, with whose budget, through which MCP tool? Nobody can say. The calls nobody is counting Enterprise AI usage did not arrive as one system. It arrived as a hundred small ones. A data team wires GPT-5.5 into a pipeline with a key from the shared vault. A product squad…
1Key Takeaways
- You have API keys in a vault, a budget dashboard, and a policy doc that lists which models are approved.
- On paper, enterprise AI is under control.
- So answer one question: who called which model last night, with whose budget, through which MCP tool?
- The calls nobody is counting Enterprise AI usage did not arrive as one system.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that you have API keys in a vault, a budget dashboard, and a policy doc that lists which models are approved.
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