AI Gateway

How to implement PII filtering and compliance controls at the AI gateway layer using Bifrost, the open-source AI gateway built for enterprise compliance requirements. AI applications that process user input send prompts containing potentially sensitive data, including personally identifiable information (PII), credentials, and proprietary business content, to external LLM

Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. This guide reviews the top 5 platforms for load balancing AI model APIs and automatic failover, with a focus on cross-provider support, health-aware routing, and per-consumer

LLM rate limits cap the AI traffic you can send before a 429 error stops it. Bifrost enforces provider limits and your own governance limits from one gateway. Every LLM provider caps how many requests and tokens an account can send per minute, and crossing that cap returns a 429

Bifrost leads this comparison of gateway platforms for multi-provider AI with governance, guardrails, and observability. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Enterprises now run an average of three foundation models in production and route

TLDR: Most production AI systems waste tokens in three distinct ways: serving repeated queries with fresh inference calls, routing all workloads to frontier models regardless of complexity, and paying high per-call token overhead on agentic tool-use loops. Bifrost addresses all three with semantic caching, dynamic routing rules, and

TLDR: Production AI systems running across multiple providers accumulate costs that are nearly impossible to attribute without a centralized gateway. Bifrost provides real-time visibility into every request, token count, cost, and error across all providers and consumers, so engineering and finance teams always know where AI spend is going.