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Bifrost and Bifrost Edge let enterprises govern employee use of ChatGPT and Claude with content guardrails, audit logging, and device-level enforcement, without blocking the productivity these tools provide. Blocking ChatGPT and Claude does not work. When organizations block access to consumer AI tools, employees find alternatives: personal devices, mobile

Bifrost and Bifrost Edge give enterprises a unified governance layer for all LLM and MCP usage, covering both centrally-configured API clients and the AI tools employees run on their own machines. Enterprise LLM and MCP usage has outgrown the access patterns most governance frameworks were designed for. Teams route

Bifrost applies zero-trust principles to enterprise AI infrastructure: every model request is authenticated, authorized against policy, inspected by guardrails, and logged, regardless of the application or user that originates it. Zero-trust is a security architecture principle: "never trust, always verify." Every access request is authenticated and