Bifrost has introduced a two-layer security framework to manage Model Context Protocol (MCP) servers in enterprise environments. By combining the Bifrost Gateway with the new Bifrost Edge agent, the system enables organizations to monitor, audit, and restrict AI traffic that typically bypasses standard network governance.

The Model Context Protocol (MCP) allows AI agents like Claude to interact directly with local resources, including production databases, sensitive source code, and system-level tools. While these capabilities improve developer productivity, they also create security risks when employees connect unofficial or unverified MCP servers from their laptops or IDEs. Current network-level blocking often fails to address these local, endpoint-based connections, leading to visibility gaps known as shadow MCP.

Bifrost Gateway acts as a centralized infrastructure component where administrators define governance policies. These policies include virtual keys, tool allow-lists, budget caps, and guardrails for PII (personally identifiable information) detection. Bifrost Edge, a lightweight agent installed on employee devices across macOS, Windows, and Linux, intercepts AI traffic at the endpoint and automatically routes it through the Gateway. This ensures that every AI request is governed and recorded regardless of where it originates.

Beyond simple routing, the Bifrost admin dashboard provides real-time visibility into all active MCP configurations across an organization’s fleet. Administrators can identify unapproved tools and enforce policies that block or allow specific MCP servers without interrupting the end-user workflow. For example, if a developer attempts to access a blocked tool, the Edge agent intercepts the request, blocks the connection, and notifies the security team. Implementation typically follows a three-week roadmap, starting with gateway configuration, followed by a pilot deployment of the Edge agent, and finishing with ongoing monitoring and policy refinement. The platform is currently available in alpha.

Bifrost has introduced a two-layer security framework to manage Model Context Protocol (MCP) servers in enterprise environments. By combining the Bifrost Gateway with the new Bifrost Edge agent, the system enables organizations to monitor, audit, and restrict AI traffic that typically bypasses standard network governance.

The Model Context Protocol (MCP) allows AI agents like Claude to interact directly with local resources, including production databases, sensitive source code, and system-level tools. While these capabilities improve developer productivity, they also create security risks when employees connect unofficial or unverified MCP servers from their laptops or IDEs. Current network-level blocking often fails to address these local, endpoint-based connections, leading to visibility gaps known as shadow MCP.

Bifrost Gateway acts as a centralized infrastructure component where administrators define governance policies. These policies include virtual keys, tool allow-lists, budget caps, and guardrails for PII (personally identifiable information) detection. Bifrost Edge, a lightweight agent installed on employee devices across macOS, Windows, and Linux, intercepts AI traffic at the endpoint and automatically routes it through the Gateway. This ensures that every AI request is governed and recorded regardless of where it originates.

Beyond simple routing, the Bifrost admin dashboard provides real-time visibility into all active MCP configurations across an organization’s fleet. Administrators can identify unapproved tools and enforce policies that block or allow specific MCP servers without interrupting the end-user workflow. For example, if a developer attempts to access a blocked tool, the Edge agent intercepts the request, blocks the connection, and notifies the security team. Implementation typically follows a three-week roadmap, starting with gateway configuration, followed by a pilot deployment of the Edge agent, and finishing with ongoing monitoring and policy refinement. The platform is currently available in alpha.