Setting up AI Developer Edition on

Prerequisites

Mon, 01 Jan 0001 00:00:00 +0000

General requirements

The system requirements for the AI Developer edition are provided here.

Hardware requirements

For the local docker deployment mode, a machine with the following specifications will enable you to experiment with the main features:

Optional - Obtaining access to the AI Developer Edition API Service

Mon, 01 Jan 0001 00:00:00 +0000

Registration is only required for running the APIs to protect, unprotect, and reprotect data. The find and redact that uses Data Discovery, Semantic Guardrail, and Synthetic Data features can be used without registration. Skip this section if find and protect that uses the tokenization and encryption feature is not required.

Registering for access

Setting up the packages

Mon, 01 Jan 0001 00:00:00 +0000

Obtaining the package

Navigate to the Protegrity AI Developer Edition repository.
Clone or download the repositories on your local system.
- protegrity-developer-edition: Contains the files to launch the required containers. It also contains the sample applications and files.
```
git clone https://github.com/Protegrity-Developer-Edition/protegrity-developer-edition.git
```
To customize the Python modules, clone and use the source from the protegrity-developer-python repository.

Verifying the files in the Protegrity AI Developer Edition package

Mon, 01 Jan 0001 00:00:00 +0000

protegrity-developer-edition repository

This repository contains the files for obtaining and running the sample application.

CHANGELOG.md: It tracks version updates and changes are tracked here.
CONTRIBUTIONS.md: The guidelines for contributing to the project.
LICENSE: The license file with the terms and conditions for using the application.
README.md: The readme file specifying the steps to set up the product.
docker-compose.yml: This file contains the configuration for deploying the containers.
data-discovery: The directory with the sample application and scripts for Data Discovery.
semantic-guardrail: The directory with the sample scripts for Semantic Guardrail.
samples: The directory with the sample application and scripts for the testing the features.
- java: The directory with the sample scripts for testing the features using Java.
- python: The directory with the sample scripts for testing the features using Python.
  - sample-app-semantic-guardrails: The directory with the sample notebook for testing the Semantic Guardrails feature.
  - sample-app-synthetic-data: The directory with the sample notebook and datastore for testing the Synthetic Data feature.
- sample-data: The directory with the input file for the scripts.
- config.json: The configuration file for working with the scripts.

protegrity-developer-python repository

This repository contains the source files for customizing and building the Python module.