AI Governance

Governing MCP tool execution means controlling which tools a model can run and who can run them. Bifrost enforces approval, filtering, and audit at the gateway. By default, the Model Context Protocol treats tools as model-controlled: a language model can discover and invoke them automatically based on the conversation.

Shadow AI is the unsanctioned use of AI tools inside enterprises. Learn how it emerged, the risks it creates, and how AI governance and security contain it. Shadow AI is the use of AI tools, models, and applications by employees without the knowledge, approval, or oversight of IT and security

Claude Code governance starts at the gateway. Bifrost secures agent access with virtual keys, credential isolation, MCP tool filtering, and immutable audit logs. Claude Code authenticates with a raw provider API key, reads entire repositories, runs shell commands, and calls external MCP tools from a single terminal session. When every

The top AI governance platforms for enterprise LLM deployments in 2026, compared on runtime enforcement, access control, and compliance. Bifrost is the best choice for enterprises running mission-critical AI workloads. Enterprise AI usage now spans dozens of teams, hundreds of API keys, and multiple LLM providers, often with no

Bifrost is the open-source AI gateway for governing AI coding agents. Securely roll out Claude Code and Codex with virtual keys, guardrails, and audit logs. Most engineering organizations now run AI coding agents like Claude Code and Codex CLI in daily development, and research from Black Duck found that

Bifrost implements a four-tier hierarchical budget and rate-limit system that gives platform teams precise cost isolation and traffic governance across every tenant, team, and provider. Multi-tenant LLM platforms share infrastructure across many consumers, which means a single design decision about budget scoping or rate limit granularity propagates