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TL;DR: Enterprise AI gateways are the control plane for every LLM call your team makes. They enforce security policies, manage costs, ensure reliability, and give you full observability over AI usage across your organization. This article compares the top 5 platforms: Bifrost, Cloudflare AI Gateway, Vercel AI Gateway, LiteLLM,

TL;DR: As enterprises scale LLM deployments, AI gateways have evolved from simple proxy layers into full observability infrastructure. This article covers what to look for in an enterprise AI gateway, how observability fits into the picture, and why Bifrost by Maxim AI stands out as a purpose-built option for

TL;DR: LLM provider failures are not edge cases. They are a regular part of running AI in production. Retries, fallbacks, and circuit breakers each solve different failure modes, and combining them intelligently using an AI gateway like Bifrost is the most reliable path to consistent uptime for AI-powered applications.

TL;DR: LLM costs are ballooning as AI usage scales. AI gateways are the fastest way to cut spend, without changing your application logic. This article breaks down the top 5 gateways in 2026, Bifrost, Cloudflare, Vercel, LiteLLM, and Kong AI, so you can pick the right one for your

Enterprise AI adoption is accelerating at an unprecedented rate. According to Gartner, global spending on AI is projected to reach $2.52 trillion in 2026, a 44% increase year-over-year. At the same time, Stanford's 2025 AI Index documented 233 AI-related security incidents in 2024 alone, a 56.4%

Portkey works well for teams in early production stages. Its breadth of model support, config-based routing, and managed observability lower the barrier to multi-provider AI integration. But as organizations scale, several architectural and commercial constraints become blockers. Log-Based Pricing Creates Cost Unpredictability Portkey's pricing model charges based on