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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

TL;DR: LLM API costs compound fast at scale. An AI gateway adds a control layer between your app and providers to enforce caching, fallbacks, and budgets. Bifrost (by Maxim AI) leads on cost ops with semantic caching, virtual key budgets, 12+ providers, and native observability. Cloudflare AI Gateway is

Fintech companies are deploying LLM-powered applications across fraud detection, credit decisioning, customer support automation, and regulatory compliance workflows. As these systems move from prototype to production, the infrastructure connecting applications to LLM providers becomes a critical scaling bottleneck. Provider outages, unpredictable API costs, fragmented authentication schemes, and compliance requirements around

AI governance has shifted from a best practice to a regulatory imperative. With the EU AI Act imposing fines of up to 35 million euros or 7% of global turnover for non-compliance, and high-risk system rules taking full effect in August 2026, enterprises can no longer treat governance as an

As LLM-powered applications scale from prototype to production, token costs can spiral quickly. A single unoptimized prompt chain can multiply expenses by 10x, and without real-time visibility into usage patterns, teams often discover budget overruns only after the damage is done. Effective cost and usage monitoring has become a non-negotiable