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🛡️ Sentinel
Zero-trust governance for AI agents. One decorator. Full control.
The Problem
You gave your AI agent access to real tools. Now it can:
What could possibly go wrong?
Everything.
The Solution
That's it. Three lines. Your agent now requires human approval for high-risk actions.
What Happens Next
You decide. Not the AI.
Features
Quick Start
Installation
Basic Usage
Rules Configuration
LangChain Integration
Dashboard
Start the visual command center:
Open http://localhost:8501:
Track your protection metrics: The dashboard shows "Total Value Protected" - the sum of all transactions that required approval. Use this metric to demonstrate ROI to stakeholders and justify governance investments.
Anomaly Detection
Sentinel doesn't just check rules. It learns patterns.
No rule needed. The math speaks for itself.
Fail-Secure by Default
Most systems fail-open: if something breaks, actions are allowed.
Sentinel fails-secure: if something breaks, actions are blocked.
A security product that fails open isn't a security product.
Architecture
Why Sentinel?
Use Cases
Early Adopters
Sentinel is being used to protect AI agents in:
Want to be featured here? Open an issue and tell us your use case!
Roadmap
Configuration
Sentinel can be configured via environment variables. Copy the example file:
Then edit .env with your values. Key variables:
See .env.example for all available options.
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
License
MIT License. Use it, fork it, sell it. Just don't blame us if your AI still does something stupid.
Enterprise
Need custom integration, SLA, or compliance features?
Open an Issue →
Stop hoping your AI behaves. Start knowing.
Get Started •
Documentation •
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