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TL;DR * AI governance splits into two layers: runtime enforcement on live inference traffic, and policy and compliance governance across the model lifecycle. Most enterprises need both. * Gartner projects spending on AI governance platforms will reach $492 million in 2026 and exceed $1 billion by 2030. * Gartner also predicts that

Bifrost Access Profiles bring enterprise AI governance to large teams: reusable policies that auto-provision governed virtual keys with budgets and model limits. Enterprise AI governance fails most often at the access layer: who can call which models, with what budget, and which tools they can reach. IBM's

Build per-team cost attribution for AI usage with Bifrost: track LLM spend across teams using hierarchical budgets, virtual keys, and exportable telemetry. When LLM usage arrives as a single provider invoice, platform teams cannot tell which team, application, or project drove the spend, and per-team cost attribution becomes

Learn how to restrict GPT-5 access to a single team with virtual keys in Bifrost, the open-source AI gateway, with model filtering, budgets, and rate limits. GPT-5 is one of the most capable and most expensive models available through the OpenAI API, and uncontrolled access across an