What Is an AI Gateway? The Control Plane for Enterprise LLM Traffic An explanation of what an AI gateway is, the seven capabilities that define one, and how it differs from a traditional API gateway.
Understanding LLM Access Control TL;DR * LLM access control decides which users and applications can reach which models, providers, tools, and data, and how much of each they may consume. * Access control for LLMs differs from the traditional kind because every call carries a variable cost, most calls leave the network boundary, and models
AI Agent Guardrails: Policies and Controls for Autonomous Agents TL;DR * AI agent guardrails are runtime policies that a gateway checks before every model call and every tool execution, blocking, redacting, or transforming traffic that violates the rule. * The gateway is the correct enforcement point because it sees every request an agent makes, cannot be bypassed by the agent
AI Agent Governance: Identity, Permissions, Budgets, and Lifecycle in Production TL;DR * AI agent governance is the operational practice of treating every production agent as a distinct identity with its own permissions, budget, audit trail, and lifecycle events, rather than as an anonymous consumer of a shared human API key. * Bifrost implements agent identity with virtual keys, which carry per-
How to Avoid LLM Vendor Lock-In TL;DR * LLM vendor lock-in happens when application code, SDK choice, prompt formatting, fine-tunes, or auth mechanism tie a team to one provider's pricing, availability, and roadmap. * The most durable defense is an OpenAI-compatible unified interface, so any provider can be swapped in without SDK
AI Audit Trail: Controls and Audit Logs for LLM Traffic TL;DR * An AI audit trail for LLM traffic is a signed, retained record of who called which model, with what prompt and response, at what cost, and which policy fired, produced at the gateway so it covers every request. * The runtime controls that belong at the LLM traffic layer
LLM Observability at the Gateway: What to Measure, and Where A guide to LLM observability at the gateway, covering the signals to instrument and how to export them to Prometheus, OpenTelemetry or Datadog.