
Why AI Agents Need Their Own Authorization Protocol (and how we built one)
AI agents are shipping fast. They book flights, send emails, move money, and deploy code. But here is the uncomfortable truth: most of them operate with all-or-nothing API keys and zero audit trail. If an agent goes rogue, you find out after the damage is done. We built Grantex to fix that. The Problem Every time you click "Sign in with Google" or grant an app access to your calendar, OAuth 2.0 is doing the work. It has been the backbone of delegated authorization for over a decade. So why can't we just use it for AI agents? The short answer: agents are not apps. OAuth 2.0 was designed for human users clicking "Allow" on a consent screen. It works brilliantly for that. But agents operate autonomously, spawn sub-agents, and chain actions across services. OAuth was never designed for: Agent identity -- agents need their own cryptographic identity, not borrowed user credentials. Delegation chains -- a parent agent granting a sub-agent a narrower set of permissions. Action-level auditing -
Continue reading on Dev.to Webdev
Opens in a new tab



