AI Governance

Compare the top platforms for governing LLM spend in 2026. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Enterprise LLM API spend passed $8.4 billion in 2025 and continues to climb, and the FinOps Foundation'

Policy-based AI governance works only when rules run in the request path. Bifrost makes the gateway one control plane for every AI call across providers. Policy-based AI governance is the practice of declaring access, spend, routing, and safety rules once and enforcing them at runtime on every model

Compare the top LLM gateway governance platforms for regulated and public-sector teams in 2026. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Regulated and public-sector teams that deploy large language models operate under overlapping mandates,

Governing enterprise LLM traffic means routing every model call through one central gateway. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. A 2026 Cloud Security Alliance survey found that 82% of organizations discovered previously unknown AI agents

Bifrost brings AI governance with virtual keys to LLM and MCP traffic, giving enterprise teams one control point for access, budgets, and tool permissions. According to IBM's 2025 Cost of a Data Breach Report, 97% of organizations that suffered an AI-related breach lacked proper access controls on

Bifrost applies AI guardrails to every model response at the gateway, catching hallucinations, PII, and unsafe output before they reach users or systems. A large language model can return a fluent, confident answer that is factually wrong or unsupported by the context it was given, and once that response leaves