
🛡️ Introducing Guardio — Take Back Control of Your AI Agent's Actions
You've built an AI Agent. It's smart, it's fast, and it connects to the real world through tools and APIs. Then one day it sends 400 emails. Or deletes a file it shouldn't have touched. Or calls a billing endpoint with a parameter you never anticipated. Sound familiar? This is the unsolved reliability problem of agentic AI - and it's exactly why I built Guardio. What Is Guardio? Guardio is a policy enforcement proxy that sits between your AI agents and the outside world. Every call your agent makes - to an MCP tool, an external API, a database - passes through Guardio first. Guardio evaluates it against your rules, and only lets it through if it's allowed. No AI in the middle. No second-guessing. Just deterministic, guaranteed enforcement of your policies. The Problem It Solves Modern AI Agent frameworks give agents a lot of power. That power comes with real risks: An agent hallucinates a parameter and calls a destructive endpoint A retry loop causes an API to be hit thousands of times
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