Jupyter Notebook for Protegrity AI Developer Edition

Want to test Protegrity’s data protection features without any local installation? In this tutorial, Dan Johnson shows you how to make your first protect and unprotect API calls directly in your browser using our interactive Jupyter Notebook (Binder).

This is the fastest way to see Protegrity’s Python SDK in action—authenticating, applying protection policies, and maintaining data utility in real-time.

What's in this video:

• Zero-Config Setup: How to launch the Protegrity interactive notebook to start coding instantly.
• Authentication: A step-by-step walkthrough of registering for API credentials and securing your session.
• Protect & Unprotect: Watch as we transform raw PII (like names and credit card numbers) into protected tokens and back again.
• Role-Based Access (RBAC): See the difference between a "Super User" who can unprotect data and a "Standard User" who is restricted.
• Bulk Protection: How to handle arrays of data, such as lists of credit card numbers, for high-volume workflows.

Chapter Overview:
[0:00-1:04] - Architecture Overview and Data Protection Workflow: Understand the dual-gate security architecture and see how Protegrity protects PII while maintaining data utility for LLMs.
[1:05-2:16] - Quickstart: Launching Your Environment: Step-by-step walkthrough on launching the developer notebook and securing your API credentials.
[2:17-3:19] - Authentication and Credential Management: How to handle the credential flow and successfully authenticate within your development environment.
[3:20-4:19] - Executing Your First Protect and Unprotect Calls: A deep dive into initial API calls and how policy checks differentiate access between super users and standard users.
[4:20-5:19] - Advanced Examples: Bulk Processing and Credit Card Data: Exploring complex use cases, including high-sensitivity credit card data and performing bulk protect/unprotect operations.
[5:20-End] - Resources and Integration Wrap-up: Final summary and where to find the documentation, GitHub repositories, and developer resources to start building.

Featured Tools:

• Protegrity Python SDK
• Interactive Jupyter Notebook (Binder)
• Protegrity API Credentials

Check out our earlier videos to learn how to clone the repo and run these same powerful tools locally on your own machine! Visit https://www.protegrity.com/developers to start.

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