AI Gateway

Provider invoices bill per API key, not per team. Track LLM usage and spend by team with Bifrost virtual keys, hierarchical budgets, and cost labels. A shared OpenAI or Anthropic organization key produces one invoice line per month, which means any company running several teams against that key cannot separate

Enterprise LLM access control in 2026 requires federated identity, RBAC at scale, row-level data scoping, and audit-ready compliance. This guide covers the building blocks and how to enforce them. Enterprise LLM access control is the practice of governing, at organizational scale, which users, teams, and applications can access

LLM access control governs who can use which models, tools, and data, and under what limits. This guide explains authentication, authorization, RBAC, ABAC, and how to enforce access control for LLMs. LLM access control is the set of mechanisms that determine which users and applications can access which language models,

A complete 2026 guide to AI and GenAI security: the LLM threat landscape, the OWASP Top 10 for LLMs, defense-in-depth controls, and how to secure generative AI at the gateway layer. Generative AI security is the practice of protecting AI models, applications, and the data they process from

Compare the top LiteLLM alternatives for scaling enterprise AI workloads in 2026. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Enterprise teams evaluating LiteLLM alternatives in 2026 are usually looking for a gateway that holds up under

Compare five tools for enforcing rate limits and budgets on AI calls. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Enforcing rate limits and budgets on AI calls means placing a control layer between your applications and