Bifrost Edge

Compare the leading shadow AI detection tools for enterprise security teams in 2026. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Shadow AI detection requires more than network monitoring. DNS logs can confirm that a connection was

Bifrost and Bifrost Edge provide the fleet-wide AI tool inventory and detection capabilities enterprises need to identify and govern unapproved AI tools before they become security incidents. Companies with more than 1,000 employees manage an average of 250 unauthorized AI tools running in parallel, according to research aggregated

Bifrost as an MCP gateway centralizes governance, authentication, and audit logging for all MCP server connections, addressing the shadow IT risk that unmanaged MCP servers create across enterprise AI environments. Between January and February 2026, researchers filed 30 CVEs against MCP infrastructure in 60 days, according to analysis by Aembit

Bifrost and Bifrost Edge extend AI governance beyond the gateway to the browser, desktop, and terminal AI tools employees use every day, eliminating the visibility gap no traditional policy layer can close. Enterprise AI governance programs are built around the assumption that AI traffic flows through controlled infrastructure: APIs configured

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