PII Filtering and Compliance at the AI Gateway Layer
How to filter PII at the AI gateway layer, covering detection options, the three redaction modes and the audit trail for compliance.
Kamya Shah
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