AI Gateway

An agent gateway is the control point that routes, secures, and governs traffic between AI agents, models, tools, and other agents. This guide compares Bifrost, Kong AI Gateway, agentgateway, Amazon Bedrock AgentCore Gateway, and IBM ContextForge for enterprise teams.

Bifrost, Kong, Cloudflare, Azure and ServiceNow compared on guardrails, access control, secrets management, audit logging and deployment isolation.

Using Claude Code with Gemini models requires a gateway that translates Anthropic Messages API requests to Gemini's API and back. This guide shows how to connect a Gemini API key or Vertex AI through Bifrost, map model tiers, and fall back to Claude.

AI observability tools record and analyze the requests flowing to AI models so teams can track cost, latency, errors, and usage. This guide compares Bifrost, Datadog LLM Observability, Dynatrace, Cloudflare AI Gateway, and Kong AI Gateway on how much enterprise AI traffic each can see.

An AI security platform protects the prompts, responses, and tool calls that flow between people, applications, and AI models. This guide explains why securing all AI traffic needs one control point, compares security approaches, and shows how AI Gateway + Bifrost Edge covers every path.

An AI gateway is the control layer between applications and model providers. This guide breaks down the features and capabilities enterprise-grade AI workloads need, from routing and failover to budgets, guardrails, audit logs, MCP governance, and in-VPC deployment.