MCP Server Governance: Best Practices and Tools Six best practices for MCP server governance, covering tool access control, authentication, approval gating and audit logging.
AI Coding Agent Security: Governing Cursor, Claude Code, and Copilot TL;DR * AI coding agent security means governing what Cursor, Claude Code, and GitHub Copilot send to model providers and which MCP servers they can reach. * Claude Code, Cursor, and Copilot each route through Bifrost with a base-URL change and a virtual key that carries model access, budgets, and
MCP Gateway: The Control Plane for MCP Servers TL;DR * An MCP gateway is the control plane that governs, secures, and cost-optimizes every Model Context Protocol server behind one endpoint. * Bifrost connects to MCP servers over STDIO, HTTP, or SSE and exposes every permitted tool through a single /mcp endpoint. * Bifrost supports six MCP authentication types, and
AI Governance Guide: Access Profiles, RBAC, DAC TL;DR * AI governance architecture in Bifrost rests on three Enterprise layers: role-based access control (RBAC), data access control (DAC), and access profiles, all centered on virtual keys. * RBAC decides which operations a role can perform on resources such as virtual keys, logs, and guardrails; Bifrost ships Admin (42
Enterprise AI Governance with Virtual Keys TL;DR * Enterprise AI governance controls which teams and applications reach which models, tools, and budgets, and records that access for audit. * In Bifrost, the virtual key is the single control point: it carries provider and model access, MCP tool permissions, budgets, and rate limits for every request made with
Governing Enterprise AI and Data: The Leading Platforms TL;DR * Enterprise AI governance platforms control which teams reach which models, cap spend per consumer, filter sensitive data in prompts and responses, and record audit evidence for compliance reviews. * AWS, Azure, and Google Cloud now offer token quotas, guardrails, and MCP tool governance, but each assembles them from several
Policy-Based Governance at the Gateway: One Control Plane for Every AI Call TL;DR * Gateway-enforced AI policy turns written rules for access, spend, routing, and content safety into checks that run on every model and tool request. * A Cloud Security Alliance survey published in April 2026 found that 82% of organizations had discovered previously unknown AI agents in their environments in