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The AI Safety Stack: Guardrails, Evaluation, and Observability Defined

The AI Safety Stack: Guardrails, Evaluation, and Observability Defined

The AI safety stack has three layers: guardrails, evaluation, and observability. Learn how Bifrost enforces production-grade AI safety at the gateway. The AI safety stack is the set of controls, tests, and monitoring layers that together prevent an LLM application from producing unsafe outputs, leaking data, or behaving unpredictably

MCP Authentication Explained: OAuth, API Keys, and Token Management

MCP Authentication Explained: OAuth, API Keys, and Token Management

MCP authentication covers OAuth 2.1, API keys, and token management. Learn how Bifrost secures MCP servers with PKCE, automatic refresh, and per-user identity. MCP authentication is the layer that decides who can call tools on a Model Context Protocol server, what those callers can do, and how their

Top 5 Open-Source MCP Gateways for Self-Hosted AI Infrastructure

Top 5 Open-Source MCP Gateways for Self-Hosted AI Infrastructure

Compare the top open-source MCP gateways for self-hosted AI infrastructure on performance, governance, token efficiency, and deployment flexibility in 2026. Teams running production AI agents in 2026 are increasingly choosing open-source MCP gateways for self-hosted AI infrastructure rather than managed services. The reasons are practical: data

The Complete Guide to MCP Gateways for Enterprise AI Teams

The Complete Guide to MCP Gateways for Enterprise AI Teams

A complete guide to MCP gateways for enterprise AI teams: requirements, security risks, governance patterns, and how Bifrost delivers production-grade MCP infrastructure. Enterprise AI teams are deploying agents that read repositories, query databases, hit internal APIs, and execute actions on behalf of users. The infrastructure that makes this safe

What is an MCP Gateway? Key Features and Benefits

What is an MCP Gateway? Key Features and Benefits

An MCP gateway centralizes tool discovery, routing, governance, and execution for AI agents. Learn how Bifrost's MCP gateway powers production-grade agent infrastructure. As AI agents move from prototypes to production, teams quickly discover that connecting models to external tools is harder than it looks. An MCP gateway

7 Important metrics to track for AI Agent Observability

7 Metrics You Should Track for AI Agent Observability

A practical guide to the seven core metrics for AI agent observability, covering reliability, debugging speed, cost control, and production-grade performance. TL;DR This article covers seven core metrics worth tracking for AI agent observability: Step Completion, Step Utility, Task Success, Tool Selection, Toxicity, Faithfulness, and Context Relevance, applied

Best AI Gateway for Governance and Guardrails in Enterprise AI

Best AI Gateway for Governance and Guardrails in Enterprise AI

Bifrost is the best AI gateway for governance and guardrails in enterprise AI, with virtual keys, hierarchical budgets, and multi-provider content safety enforcement. Enterprise AI applications now span dozens of agents, RAG pipelines, internal copilots, and customer-facing chatbots, often distributed across multiple LLM providers and multiple business units.