TL;DR
An enterprise AI governance framework fails when it exists only as static documentation rather than executable runtime infrastructure.
Production governance requires five active controls: virtualized access tokens, real-time guardrails, multi-tier budget controls, agent tool isolation, and continuous runtime observability.
Relying on manual policy reviews leaves organizations vulnerable to token budget overruns, unvetted tool calls, and data leakage across disparate LLM providers.
Bifrost, an open-source AI gateway written in Go, operationalizes enterprise policies by enforcing security rules, budgets, and audit logging directly within the live inference path.
Endpoint coverage completes the control plane: while the central gateway secures server applications, Bifrost Edge extends policy enforcement to desktop tools and developer environments.