🛡️ AgentGuard: Secure and Govern Your AI Agents with Auth0 for AI

#devchallenge #auth0challenge #ai #authentication

Auth0 for AI Agents Challenge Submission

This is a submission for the Auth0 for AI Agents Challenge

What I Built

AgentGuard is a security and governance platform for AI agents — designed to protect how enterprise AI agents interact with external APIs, tools, and sensitive data.

Today, organizations build powerful AI assistants that can access Slack, Stripe, HR systems, or internal APIs. But what happens when one of these agents tries to access a resource it shouldn’t?
That’s where AgentGuard steps in.

The Problem:
AI agents often operate without proper guardrails — no authentication for users prompting them, no authorization boundaries for tools they access, and no audit logs for compliance teams.

The Solution:
AgentGuard acts as a control layer between humans, AI agents, and external APIs. It authenticates users, authorizes agent actions, and provides real-time governance through Auth0’s identity and policy management system.

With AgentGuard, every agent action is:

Authenticated (user identity verified with Auth0)

Authorized (checked against a policy engine)

Audited (logged for compliance visibility)

Demo

🔗 GitHub Repository: https://github.com/techsplot/Agentguard_new

🖼️ Screenshots

Agent Dashboard: Register and monitor agents securely.

Chat Interface: Interact with AI agents safely, backed by Auth0 authentication.

Logs View: Real-time audit of agent activities and policy checks.

(Attach screenshots or screen recordings of the UI — dashboard, logs, chat, etc.)

How I Used Auth0 for AI Agents

This project was purpose-built to showcase Auth0 for AI’s three core capabilities:
Authentication, Authorization, and Token Control — all integrated seamlessly into an AI-agent-driven architecture.

🧱 1. User Authentication

Users sign in via Auth0’s Universal Login to access the AgentGuard dashboard.
Protected routes ensure only authenticated users can register or interact with agents.

🧩 2. Token Vault Simulation

Before an agent can call an external API (like Slack or Stripe), AgentGuard generates a short-lived access token through a mock Auth0 Token Vault.
Each token:

Is tied to a specific agent and action.

Expires after a short period.

Is logged for traceability.

This prevents agents from misusing permanent credentials or accessing unauthorized resources.

🛡️ 3. Fine-Grained Authorization (FGA)

A Policy Engine checks if each action is allowed for the given agent:

{
"agent": "Stripe Bot",
"allowedTools": ["Stripe"],
"restrictedActions": ["refundOver500USD"]
}

If an agent tries something beyond its defined scope, the action is denied — and the attempt is logged for review.

🧠 4. AI Interaction via Gemini

AgentGuard uses Gemini 2.5 Flash to power intelligent agent responses.
Every response is mediated through Auth0’s guardrails — ensuring only authorized actions trigger model calls.