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AI Guardrails Explained: What They Are and How They Work

AI Guardrails Explained: What They Are and How They Work

AI guardrails are runtime policy checks on LLM inputs and outputs. Bifrost enforces them at the gateway layer, across every model call and every tool execution. AI guardrails are runtime policy controls that inspect what an application sends to a language model and what the model sends back, then allow,

Best Enterprise AI Gateway to Reduce LLM Token Cost in 2026

Best Enterprise AI Gateway to Reduce LLM Token Cost in 2026

Bifrost is the best enterprise AI gateway to reduce LLM token cost in 2026, with semantic caching, model routing, Code Mode, and enforced per-team budgets. Enterprise spending on LLM APIs reached $8.4 billion by mid-2025, more than double the $3.5 billion recorded in late 2024, according

Govern Figma MCP Access for Claude Code with an MCP Gateway

Govern Figma MCP Access for Claude Code with an MCP Gateway

Figma MCP access gives Claude Code read and write reach into design files. Bifrost governs which developers get which tools. The Figma MCP server no longer only reads design files: since the Code to Canvas release, agents connected to it can create and modify native Figma content, including frames, components,

LLM cost optimization at the gateway layer: routing, semantic caching, Code Mode, budgets, and observability with Bifrost

LLM Cost Optimization: A Guide to Cutting AI Spending Without Sacrificing Quality

TL;DR * Enterprise LLM spend keeps rising even as per-token prices fall, because total token consumption grows faster than prices drop, so cost optimization has to be continuous rather than a one-time exercise. * The gateway is the most durable place to optimize, because every model request passes through

Running Claude Code on Bedrock, Vertex, or Your Own Models With an Enterprise AI Gateway

Running Claude Code on Bedrock, Vertex, or Your Own Models With an Enterprise AI Gateway

TL;DR * Claude Code natively supports Amazon Bedrock and Google Vertex AI through environment variables, so teams can run the agent against Claude models inside their own cloud accounts under existing IAM, billing, and data-residency controls. * Native Claude Code Bedrock and Vertex configurations point at exactly one provider each;

How to Reduce Claude Code Token Costs

How to Reduce Claude Code Token Costs

TL;DR * Anthropic's cost documentation reports that Claude Code costs an average of about $13 per developer per active day and $150 to $250 per developer per month, so reducing Claude Code token costs is a per-seat spend problem, not a rounding error. * Token cost scales with

Comparison of five AI agent monitoring and observability platforms, with Maxim AI ranked first

5 Best Tools to Monitor AI Agents in 2026

The deployment of autonomous AI agents in production environments has created unprecedented monitoring challenges for engineering teams. Agent observability involves achieving deep, actionable visibility into the internal workings, decisions, and outcomes of AI agents throughout their lifecycle, from development and testing to deployment and ongoing operation. According to research from