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Bifrost and Bifrost Edge extend centralized AI governance to every machine in the organization, closing the shadow AI gap between approved infrastructure and the AI tools employees actually use. 98% of organizations have employees using AI tools that were never reviewed or approved by IT or security teams, according to

Claude Desktop runs on the laptop and talks straight to the model, which is exactly why network controls struggle to see it. Here is how to govern Claude Desktop at the endpoint, including the MCP servers and prompts that never touch your data center. A developer installs Claude Desktop, signs

Bifrost is an open-source AI gateway that, with Bifrost Edge, extends AI endpoint security to every laptop: desktop apps, browser AI, coding agents, and MCP servers. AI endpoint security is the practice of governing the AI tools that run directly on employee machines, including desktop chat apps, browser-based

Bifrost extends endpoint AI governance to every machine, applying gateway policies (virtual keys, budgets, guardrails) to the AI employees actually use. AI governance has matured fastest at the gateway, the single point where requests to language models are routed, authenticated, budgeted, and logged. The catch is that a gateway only

What endpoint AI governance actually is, the criteria that separate a real control from a checkbox, the categories of tools you will compare, and how an AI gateway paired with Bifrost Edge brings AI on every machine under governance. On most company laptops, AI tools are already running. An engineer

Roll out AI governance with MDM across your whole fleet: push Bifrost Edge through Jamf, Intune, or Kandji so endpoint AI traffic is governed automatically. Surveys of enterprise workforces now put the share of employees using unsanctioned AI tools above 80 percent, according to UpGuard's State of Shadow

AI governance for regulated industries fails at the endpoint, where employees run ungoverned AI tools. Bifrost extends that governance to every machine. Regulated industries operate under audit, data residency, and access control requirements that apply to every system touching sensitive data. AI governance for regulated industries has to extend those