INTERACTIVE WALKTHROUGH

How agents get trust

A 5-minute interactive walkthrough using a film-production analogy to explain why AI agents need more than OAuth — and what Auth51 does about it.

Act 1 of 6|The Setup

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Studio

Your Organization

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Line Producer

Orchestrator Agent

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Vendor

Resource / API

The studio needs crew members to work with vendors — but how do you authorize them while keeping control?

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The story behind this scene

A major film studio is producing a blockbuster. …

A major film studio is producing a blockbuster. The production involves dozens of crew members — directors, coordinators, assistants — each authorized to make specific purchases and decisions on behalf of the studio.

The studio needs a system to authorize crew members to interact with vendors (equipment rental, catering, locations) while maintaining control over budgets, scopes, and audit trails. But here's the twist: the crew members are AI-powered. They reason on the fly, pick vendors dynamically, and make decisions the studio didn't explicitly pre-approve.

This is exactly the problem enterprises face deploying AI agents. OAuth was built for deterministic apps following fixed code paths. But LLM-powered agents generate dynamic workflows through reasoning — selecting tools and APIs on the fly. The question becomes: how do you verify not just who the agent is, but that it's running approved code and acting within its intended scope?

ⓘ Context

OAuth 2.0 assumes the client faithfully executes the resource owner's intent. That assumption breaks when an LLM generates the workflow dynamically.

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