Kamya Shah

Kamya Shah

Top 5 AI Governance Tools for Regulatory Compliance in 2026

Top 5 AI Governance Tools for Regulatory Compliance in 2026

The best AI governance tools for regulatory compliance in 2026, covering gateway control, content safety, secrets management, and audit-ready observability. TL;DR * The strongest AI governance tools for regulatory compliance are not a single product; they combine a policy-enforcement gateway, content safety, secrets management, and audit-ready observability

Top 5 MCP Gateways for Production AI Agents in 2026

Top 5 MCP Gateways for Production AI Agents in 2026

Compare the top 5 MCP gateways for production AI agents in 2026. Evaluate performance, governance, and MCP support across Bifrost, Kong, MintMCP, MCPX, and IBM Context Forge. The Model Context Protocol (MCP) has shifted from a December 2024 specification to the default integration layer for production AI agents, and the

From LiteLLM to a Gateway with Native Semantic Caching: A Migration Guide

From LiteLLM to a Gateway with Native Semantic Caching: A Migration Guide

A step-by-step migration guide from LiteLLM to Bifrost, the AI gateway with native semantic caching, dual-layer hit matching, and zero application code changes. Teams running LiteLLM in production often hit the same wall: response caching works in isolation, but wiring semantic caching into the proxy introduces Redis

Smart LLM Routing: Picking the Optimal Model per Request

Smart LLM Routing: Picking the Optimal Model per Request

Smart LLM routing in production cuts cost and latency by matching each request to the right model. Learn how Bifrost routes at the gateway layer. Every production AI application eventually hits the same wall: the team picked one default model, costs keep climbing, and latency on simple requests is indistinguishable

How to Govern Claude Code Usage Across Engineering Teams

How to Govern Claude Code Usage Across Engineering Teams

Govern Claude Code usage across engineering teams with virtual keys, hierarchical budgets, and tool filtering. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Claude Code has become the default terminal coding agent in most engineering organizations, and

What Production AI Systems Need from an MCP Gateway in 2026

What Production AI Systems Need from an MCP Gateway in 2026

Production AI systems need an MCP gateway with access control, auth, token efficiency, and audit trails. Here's the 2026 checklist and how Bifrost meets it. Model Context Protocol moved out of the pilot phase in 2026. Enterprises that started experimenting with MCP in 2025 are now running it

Reducing Your OpenAI and Anthropic Bill with Semantic Caching

Reducing Your OpenAI and Anthropic Bill with Semantic Caching

Cut OpenAI and Anthropic API bills 40 to 70 percent with semantic caching. Learn how Bifrost's gateway-level cache captures redundant traffic at scale. OpenAI and Anthropic bills are growing faster than traffic for most teams shipping LLM features. Claude Opus 4.7 costs $5 per million input