AI Governance

Governing AI agents in financial services requires control over the tool surface, identity, and spend. Bifrost enforces and records all three on every request. An AI agent in a financial services workflow does not only generate text: it calls tools, and those tools read customer records, move data between systems,

AI hallucinations in regulated workflows reach real artifacts. Bifrost makes the gateway the enforcement and evidence point for every prompt and response. A fabricated case citation in a legal memo, an invented policy number in an insurance response, a wrong dosage reference in a clinical summary, and a misstated fee

An enterprise AI governance framework only counts if it runs on live traffic. Bifrost enforces all five core practices at the gateway, on every AI request. Most enterprise AI programs are governed on paper and ungoverned in traffic: the policy lives in a wiki page while requests reach model providers

AI governance decides which models, people, and data are permitted, at what cost, and with what record. Bifrost enforces those rules on every request. AI governance is the set of policies, roles, and technical controls that determine which AI models and tools an organization may use, who may use them,

Bifrost leads this ranking of the top AI governance platforms in 2026, enforcing policy on live AI traffic across models and endpoints. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. AI governance platforms give organizations the controls

Bifrost leads this ranking of the best platforms to govern AI agents in 2026. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Governing AI agents means controlling what autonomous agents can do: which models they call, which